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2.
PLoS One ; 16(1): e0244839, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-33411846

RESUMO

As the COVID-19 pandemic unfolds, researchers from all disciplines are coming together and contributing their expertise. CORD-19, a dataset of COVID-19 and coronavirus publications, has been made available alongside calls to help mine the information it contains and to create tools to search it more effectively. We analyse the delineation of the publications included in CORD-19 from a scientometric perspective. Based on a comparison to the Web of Science database, we find that CORD-19 provides an almost complete coverage of research on COVID-19 and coronaviruses. CORD-19 contains not only research that deals directly with COVID-19 and coronaviruses, but also research on viruses in general. Publications from CORD-19 focus mostly on a few well-defined research areas, in particular: coronaviruses (primarily SARS-CoV, MERS-CoV and SARS-CoV-2); public health and viral epidemics; molecular biology of viruses; influenza and other families of viruses; immunology and antivirals; clinical medicine. CORD-19 publications that appeared in 2020, especially editorials and letters, are disproportionately popular on social media. While we fully endorse the CORD-19 initiative, it is important to be aware that CORD-19 extends beyond research on COVID-19 and coronaviruses.


Assuntos
Conjuntos de Dados como Assunto , Publicações , Pesquisa Biomédica , Análise por Conglomerados , Coronavirus , Infecções por Coronavirus , Humanos , Modelos Estatísticos , Publicações Periódicas como Assunto , Pré-Publicações como Assunto , Terminologia como Assunto
3.
Medicine (Baltimore) ; 99(45): e23067, 2020 Nov 06.
Artigo em Inglês | MEDLINE | ID: mdl-33157965

RESUMO

Bisphenol A (BPA) is a well-known endocrine-disrupting chemical which can cause potential health risks and interfere with thyroid hormones through multiple avenues. This study aimed to evaluate the hotspots and emerging trends on BPA and thyroid hormones by using a bibliometric method.Publications related on BPA and thyroid hormones were downloaded from Science Citation Index-Expanded database. Annual outputs, high yield journals, countries, institutions, authors and their cited times were summarized. In addition, keywords co-occurrence, burst references and citation networks were bibliometric analyzed.From 2000 to 2019, 418 articles were published. Both of the Environment International and Environmental Health Perspectives, United States, Chinese Academy of Sciences and Antonia M. Calafat were the most recorded journals, countries, institutions and authors, respectively. The main research area was Toxicology. In addition of the retrieve term "bisphenol-a" and "thyroid-hormone", "in-vitro", "exposure" and "endocrine disruptors", were the hotspot keywords and "triclosan", "oxidative stress" and "united-states" were the most recent trends keywords. "Thyroid hormone action is disrupted by Bisphenol A as an antagonist" published on The Journal of Clinical Endocrinology & Metabolism by Kenji Moriyama in 2002 got both the highest burst score and citation score. Six groups were clustered and the mechanism of BPA's effect on thyroid hormones, and the exposure of BPA and potential risks in children and pregnant women were the two main large fields.The number of publications in the field of BPA and thyroid hormones has increased tremendously since 2000. The research hotspot ranged from mechanism researches in animal models to epidemiological studies. "Thyroid hormone action is disrupted by bisphenol A as an antagonist" of Kenji Moriyama provided important building blocks in the field. The impact of BPA on thyroid hormones, especially pregnant women and children, was the latest research frontiers and might be the future direction of this filed in the following years.


Assuntos
Compostos Benzidrílicos/efeitos adversos , Depuradores de Radicais Livres/efeitos adversos , Fenóis/efeitos adversos , Publicações/estatística & dados numéricos , Hormônios Tireóideos/metabolismo , Animais , Compostos Benzidrílicos/farmacologia , Bibliometria , Criança , Gerenciamento de Dados , Disruptores Endócrinos/efeitos adversos , Disruptores Endócrinos/farmacologia , Feminino , Depuradores de Radicais Livres/farmacologia , Humanos , Modelos Animais , Fenóis/farmacologia , Gravidez , Tiroxina/efeitos dos fármacos , Tri-Iodotironina/efeitos dos fármacos
4.
Acad Radiol ; 27(12): 1760-1766, 2020 12.
Artigo em Inglês | MEDLINE | ID: mdl-33158703

RESUMO

RATIONALE AND OBJECTIVES: Women remain underrepresented in leadership positions in radiology. We sought to determine if 1) women are equitably represented in the senior author positions in radiology journals and 2) if women's contributions to the radiology literature and their individual productivity are proportional to their representation at senior academic rank. MATERIALS AND METHODS: The gender of 3,702 first and last authors listed for manuscripts published in nine high-impact American radiology journals was assessed between 2002-2017. For the same years, the gender composition of academic faculty and ranks based on AAMC data was queried. Statistical tests were employed to detect discrepancies and changes over time. RESULTS: First authorship by women grew from 26.9% to 37.4% and from 15.7% to 23.9% as senior author between 2002-2017 (P<.0001). Although the index of manuscript productivity rate was nearly equal for men and women over the 16-year study period, women remained under-represented in senior radiology faculty rank over the same period. CONCLUSIONS: Although women have proportionally increased their contribution to the radiology literature over the years, commensurate increased representation of women in senior authorship and faculty positions was not observed. Despite increased involvement of women in research over time, they remain disproportionately at junior faculty positions.


Assuntos
Radiologia , Populações Vulneráveis , Autoria , Feminino , Humanos , Liderança , Masculino , Publicações , Estados Unidos
5.
Zhongguo Zhong Yao Za Zhi ; 45(18): 4500-4509, 2020 Sep.
Artigo em Chinês | MEDLINE | ID: mdl-33164381

RESUMO

Network Meta-analysis has been widely applied in the field of traditional Chinese medicine(TCM) due to its unique advantages. This study aimed to conduct a visual analysis on the state of the application network Meta-analysis in the field of traditional Chinese medicine. Databases of CNKI and Web of Science were retrieved to identify the qualified literatures and then screen out their titles and abstracts. Institutions, authors, cited references, and keywords were analyzed using the information visualization analysis software CiteSpace. Finally, 79 English and 186 Chinese articles were included. The results indicated that the literatures were mainly published in Chinese, and the number of articles was increased rapidly since 2015. Cooperation between institutions and authors were mainly concentrated inside the institutions. The most important four institutions were four universities who attached more importance to evidence-based medical education and academic exploration. The keywords beside the method of network Meta-analysis could be summarized into three types: the main interventions in traditional Chinese medicine(Chinese herbal injection, herb medicine, acupuncture, etc.), disease types(cancer, circulatory system disease, bone joint disease, urinary system disease, etc.) and the outcome of interests(efficacy, safety, symptom, survive, mortality, etc.), which reflected the current research hotspots to certain extent. In addition, the most cited articles were methodology articles, including the introduction of methodology and the guides of application software, suggesting that the exploration of methodological articles will be extremely concerned.


Assuntos
Terapia por Acupuntura , Medicamentos de Ervas Chinesas , Medicina Tradicional Chinesa , Metanálise em Rede , Publicações , Projetos de Pesquisa
6.
PLoS One ; 15(11): e0241826, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33152034

RESUMO

BACKGROUND: A debate about the scientific quality of COVID-19 themed research has emerged. We explored whether the quality of evidence of COVID-19 publications is lower when compared to nonCOVID-19 publications in the three highest ranked scientific medical journals. METHODS: We searched the PubMed Database from March 12 to April 12, 2020 and identified 559 publications in the New England Journal of Medicine, the Journal of the American Medical Association, and The Lancet which were divided into COVID-19 (cases, n = 204) and nonCOVID-19 (controls, n = 355) associated content. After exclusion of secondary, unauthored, response letters and non-matching article types, 155 COVID-19 publications (including 13 original articles) and 130 nonCOVID-19 publications (including 52 original articles) were included in the comparative analysis. The hierarchical level of evidence was determined for each publication included and compared between cases and controls as the main outcome. A quantitative scoring of quality was carried out for the subgroup of original articles. The numbers of authors and citation rates were also compared between groups. RESULTS: The 130 nonCOVID-19 publications were associated with higher levels of evidence on the level of evidence pyramid, with a strong association measure (Cramer's V: 0.452, P <0.001). The 155 COVID-19 publications were 186-fold more likely to be of lower evidence (95% confidence interval [CI] for odds ratio, 7.0-47; P <0.001). The quantitative quality score (maximum possible score, 28) was significantly different in favor of nonCOVID-19 (mean difference, 11.1; 95% CI, 8.5-13.7; P <0.001). There was a significant difference in the early citation rate of the original articles that favored the COVID-19 original articles (median [interquartile range], 45 [30-244] vs. 2 [1-4] citations; P <0.001). CONCLUSIONS: We conclude that the quality of COVID-19 publications in the three highest ranked scientific medical journals is below the quality average of these journals. These findings need to be verified at a later stage of the pandemic.


Assuntos
Betacoronavirus , Infecções por Coronavirus , Escrita Médica , Pandemias , Publicações Periódicas como Assunto/normas , Pneumonia Viral , Publicações/normas
7.
Codas ; 32(5): e20180255, 2020.
Artigo em Português, Inglês | MEDLINE | ID: mdl-33174983

RESUMO

PURPOSE: To carry out a systematic review of scientific productions that dealt with the topic of phonological processing in relation to the influence of poor academic performance, as well as its interference in the development of reading and writing. RESEARCH STRATEGY: Articles published until August 2017 were searched in electronic databases. After elaborating the guiding question of the study: "What is the influence of phonological processing on poor school performance and its relation in the development of reading and writing?", we collected and selected the reports using descriptors, gathered in a single search equation, according to three thematic axes: phonological processing, learning and poor school performance. SELECTION CRITERIA: Original researches with an evaluation of at least two phonological processing skills were included. Articles that had no relationship between phonological processing skills and school performance were excluded. DATA ANALYSIS: The titles and abstracts were read by two speech-language pathologists, separately. The results were compared and the divergences found decided by a third researcher speech therapist, also responsible for the study. The articles included were read in full and data extraction was performed to analyze the methodology and the main results. RESULTS: 982 potentially relevant studies were selected. After using the evidence matrices, 38 scientific productions were included for detailed analysis. CONCLUSION: The study of scientific productions revealed that the alteration in phonological processing skills presented a relation with poor academic performance and, together with the schooling phase, directly influenced reading and writing skills.


Assuntos
Fonética , Leitura , Humanos , Publicações , Instituições Acadêmicas , Redação
8.
BMC Bioinformatics ; 21(Suppl 5): 250, 2020 Oct 26.
Artigo em Inglês | MEDLINE | ID: mdl-33106154

RESUMO

Biological contextual information helps understand various phenomena occurring in the biological systems consisting of complex molecular relations. The construction of context-specific relational resources vastly relies on laborious manual extraction from unstructured literature. In this paper, we propose COMMODAR, a machine learning-based literature mining framework for context-specific molecular relations using multimodal representations. The main idea of COMMODAR is the feature augmentation by the cooperation of multimodal representations for relation extraction. We leveraged biomedical domain knowledge as well as canonical linguistic information for more comprehensive representations of textual sources. The models based on multiple modalities outperformed those solely based on the linguistic modality. We applied COMMODAR to the 14 million PubMed abstracts and extracted 9214 context-specific molecular relations. All corpora, extracted data, evaluation results, and the implementation code are downloadable at https://github.com/jae-hyun-lee/commodar . CCS CONCEPTS: • Computing methodologies~Information extraction • Computing methodologies~Neural networks • Applied computing~Biological networks.


Assuntos
Mineração de Dados/métodos , Aprendizado de Máquina , PubMed , Publicações
9.
Medicine (Baltimore) ; 99(44): e22885, 2020 Oct 30.
Artigo em Inglês | MEDLINE | ID: mdl-33126338

RESUMO

BACKGROUND: Publications regarding the 100 top-cited articles in a given discipline are common, but studies reporting the association between article topics and their citations are lacking. Whether or not reviews and original articles have a higher impact factor than case reports is a point for verification in this study. In addition, article topics that can be used for predicting citations have not been analyzed. Thus, this study aims to METHODS:: We searched PubMed Central and downloaded 100 top-cited abstracts in the journal Medicine (Baltimore) since 2011. Four article types and 7 topic categories (denoted by MeSH terms) were extracted from abstracts. Contributors to these 100 top-cited articles were analyzed. Social network analysis and Sankey diagram analysis were performed to identify influential article types and topic categories. MeSH terms were applied to predict the number of article citations. We then examined the prediction power with the correlation coefficients between MeSH weights and article citations. RESULTS: The citation counts for the 100 articles ranged from 24 to 127, with an average of 39.1 citations. The most frequent article types were journal articles (82%) and comparative studies (10%), and the most frequent topics were epidemiology (48%) and blood and immunology (36%). The most productive countries were the United States (24%) and China (23%). The most cited article (PDID = 27258521) with a count of 135 was written by Dr Shang from Shandong Provincial Hospital Affiliated to Shandong University (China) in 2016. MeSH terms were evident in the prediction power of the number of article citations (correlation coefficients  = 0.49, t = 5.62). CONCLUSION: The breakthrough was made by developing dashboards showing the overall concept of the 100 top-cited articles using the Sankey diagram. MeSH terms can be used for predicting article citations. Analyzing the 100 top-cited articles could help future academic pursuits and applications in other academic disciplines.


Assuntos
Bibliometria , Fator de Impacto de Revistas , Medical Subject Headings , Publicações Periódicas como Assunto/tendências , Publicações , Previsões , Humanos , Redes Sociais Online , PubMed , Publicações/classificação , Publicações/normas , Publicações/estatística & dados numéricos
10.
Tohoku J Exp Med ; 252(2): 159-168, 2020 10.
Artigo em Inglês | MEDLINE | ID: mdl-33041315

RESUMO

The double burden of malnutrition is the coexistence of two different conditions, mainly reflected as excess or deficit in weight. Anemia is a specific nutritional deficit not always included in the double burden assessment. We reviewed overweight and/or obesity (OW/OB) and anemia studies from Latin-American Children over the last ten years up to 2019. Two authors evaluated the MEDLINE, SCOPUS, and LILACS databases. A scale of ten questions was used to assess the risk of bias in prevalence studies. Fourteen studies were selected. The population studies' size ranged from 147 to 20,342 children with different socio-economic backgrounds, such as urban, peri-urban and rural settings, socio-economic status, schooling, population (ethnic minorities and indigenous), and environmental differences (sea level or high altitude). The prevalence of OW/OB ranged from 4.9% to 42%. The prevalence of anemia was from 3.4% to 67%. The double burden, including OW/OB and anemia, ranged from 0.7% to 67%. A higher prevalence of excess weight and anemia was found in rural and high altitude above sea level environments, extreme poverty, low education level, and indigenous communities. These heterogeneous data, before the 2020 (COVID-19 pandemic), reflect the vast inequities between countries and within each country. Food insecurity linked to poverty and the induced change in eating habits and lifestyles threaten optimal child nutrition in ongoing and future scenarios. The existence of OW/OB and anemia and their simultaneous coexistence in the community, home, and individual levels, indicates that interventions should be comprehensive to face the double burden of malnutrition.


Assuntos
Anemia/epidemiologia , Efeitos Psicossociais da Doença , Obesidade/epidemiologia , Adolescente , Criança , Pré-Escolar , Geografia , Humanos , Lactente , América Latina , Prevalência , Publicações
11.
J Med Internet Res ; 22(10): e18835, 2020 10 02.
Artigo em Inglês | MEDLINE | ID: mdl-33006571

RESUMO

BACKGROUND: In recent decades, advances in information technology have given new momentum to telemedicine research. These advances in telemedicine range from individual to population levels, allowing the exchange of patient information for diagnosis and management of health problems, primary care prevention, and education of physicians via distance learning. OBJECTIVE: This scientometric investigation aims to examine collaborative research networks, dominant research themes and disciplines, and seminal research studies that have contributed most to the field of telemedicine. This information is vital for scientists, institutions, and policy stakeholders to evaluate research areas where more infrastructural or scholarly contributions are required. METHODS: For analyses, we used CiteSpace (version 4.0 R5; Drexel University), which is a Java-based software that allows scientometric analysis, especially visualization of collaborative networks and research themes in a specific field. RESULTS: We found that scholarly activity has experienced a significant increase in the last decade. Most important works were conducted by institutions located in high-income countries. A discipline-specific shift from radiology to telestroke, teledermatology, telepsychiatry, and primary care was observed. The most important innovations that yielded a collaborative influence were reported in the following medical disciplines, in descending order: public environmental and occupational health, psychiatry, pediatrics, health policy and services, nursing, rehabilitation, radiology, pharmacology, surgery, respiratory medicine, neurosciences, obstetrics, and geriatrics. CONCLUSIONS: Despite a continuous rise in scholarly activity in telemedicine, we noticed several gaps in the literature. For instance, all the primary and secondary research central to telemedicine was conducted in the context of high-income countries, including the evidence synthesis approaches that pertained to implementation aspects of telemedicine. Furthermore, the research landscape and implementation of telemedicine infrastructure are expected to see exponential progress during and after the COVID-19 era.


Assuntos
Bibliometria , Pesquisa , Telemedicina , Betacoronavirus , Infecções por Coronavirus , Assistência à Saúde , Educação a Distância , Saúde Ambiental , Política de Saúde , Humanos , Enfermagem , Saúde do Trabalhador , Pandemias , Médicos , Pneumonia Viral , Atenção Primária à Saúde , Psiquiatria , Publicações , Radiologia , Telerreabilitação
12.
BMC Bioinformatics ; 21(1): 432, 2020 Oct 02.
Artigo em Inglês | MEDLINE | ID: mdl-33008309

RESUMO

BACKGROUND: In systems biology, it is of great interest to identify previously unreported associations between genes. Recently, biomedical literature has been considered as a valuable resource for this purpose. While classical clustering algorithms have popularly been used to investigate associations among genes, they are not tuned for the literature mining data and are also based on strong assumptions, which are often violated in this type of data. For example, these approaches often assume homogeneity and independence among observations. However, these assumptions are often violated due to both redundancies in functional descriptions and biological functions shared among genes. Latent block models can be alternatives in this case but they also often show suboptimal performances, especially when signals are weak. In addition, they do not allow to utilize valuable prior biological knowledge, such as those available in existing databases. RESULTS: In order to address these limitations, here we propose PALMER, a constrained latent block model that allows to identify indirect relationships among genes based on the biomedical literature mining data. By automatically associating relevant Gene Ontology terms, PALMER facilitates biological interpretation of novel findings without laborious downstream analyses. PALMER also allows researchers to utilize prior biological knowledge about known gene-pathway relationships to guide identification of gene-gene associations. We evaluated PALMER with simulation studies and applications to studies of pathway-modulating genes relevant to cancer signaling pathways, while utilizing biological pathway annotations available in the KEGG database as prior knowledge. CONCLUSIONS: We showed that PALMER outperforms traditional latent block models and it provides reliable identification of novel gene-gene associations by utilizing prior biological knowledge, especially when signals are weak in the biomedical literature mining dataset. We believe that PALMER and its relevant user-friendly software will be powerful tools that can be used to improve existing pathway annotations and identify novel pathway-modulating genes.


Assuntos
Algoritmos , Mineração de Dados , Modelos Teóricos , Anotação de Sequência Molecular , Publicações , Simulação por Computador , Ontologia Genética , Redes Reguladoras de Genes , Humanos , Família Multigênica , Biologia de Sistemas
14.
J Chromatogr A ; 1632: 461596, 2020 Nov 22.
Artigo em Inglês | MEDLINE | ID: mdl-33045497

RESUMO

Despite nearly 80 years of advancements in gas chromatography (GC), indirect chemical matrix effects (MEs), known as the matrix-induced response enhancement effect, still occur to cause a high bias in the GC analysis of susceptible analytes, unless precautions are taken. Matrix-matched calibration is one common option used in GC to compensate for the MEs, but this approach is usually inconvenient, imprecise, and inefficient. Other options, such as the method of standard additions, surface deactivation techniques, chemical derivatizations, priming the GC, and/or use of internal standards, also have flaws in practice. When methods are accommodating, the use of analyte protectants (APs) can provide the best practical solution to not only overcome MEs, but also to maximize analyte signal by increasing chromatographic and detection efficiencies for the analytes. APs address the source of MEs in every injection by filling active sites in the GC inlet, column, and detector, particularly in GC-MS, rather than the analytes that would otherwise undergo degradation, peak tailing, and/or diminished response due to interactions with the active sites. The addition of an adequate amount of APs (e.g. sugar derivatives) to all calibration standards and final extracts alike often leads to lower detection limits, better accuracy, narrower peaks, and greater robustness than the other options to compensate for MEs in GC. This article consists of a critical review of the scientific literature, proposal of mechanisms and theory, and re-evaluation studies involving APs for the first time in GC-orbitrap and GC-MS/MS with a high-efficiency ion source design. The findings showed that 1 µg each of co-injected shikimic acid and sorbitol in the former case, and 1 µg shikimic acid alone in the latter case, led to high quality results in multi-residue analysis of pesticides and environmental contaminants.


Assuntos
Cromatografia Gasosa/métodos , Calibragem , Cromatografia Gasosa-Espectrometria de Massas , Publicações , Processamento de Sinais Assistido por Computador
15.
Annu Int Conf IEEE Eng Med Biol Soc ; 2020: 5284-5287, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-33019176

RESUMO

Each mixture of deficient molecular families of a specific disease induces the disease at a different time frame in the future. Based on this, we propose a novel methodology for personalizing a person's level of future susceptibility to a specific disease by inferring the mixture of his/her molecular families, whose combined deficiencies is likely to induce the disease. We implemented the methodology in a working system called DRIT, which consists of the following components: logic inferencer, information extractor, risk indicator, and interrelationship between molecular families modeler. The information extractor takes advantage of the exponential increase of biomedical literature to extract the common biomarkers that test positive among most patients with a specific disease. The logic inferencer transforms the hierarchical interrelationships between the molecular families of a disease into rule-based specifications. The interrelationship between molecular families modeler models the hierarchical interrelationships between the molecular families, whose biomarkers were extracted by the information extractor. It employs the specification rules and the inference rules for predicate logic to infer as many as possible probable deficient molecular families for a person based on his/her few molecular families, whose biomarkers tested positive by medical screening. The risk indicator outputs a risk indicator value that reflects a person's level of future susceptibility to the disease. We evaluated DRIT by comparing it experimentally with a comparable method. Results revealed marked improvement.


Assuntos
Lógica , Publicações , Biomarcadores , Feminino , Humanos , Masculino , Fatores de Risco
16.
Medicine (Baltimore) ; 99(40): e22623, 2020 Oct 02.
Artigo em Inglês | MEDLINE | ID: mdl-33019485

RESUMO

PURPOSE: To identify the 100 most cited research articles on cervical cancer radiotherapy. METHODS: The Web of Science and Scopus databases were searched to identify the 100 most cited articles on cervical cancer radiotherapy as of September 29, 2019. Articles were ranked based on the total citations received from 2 databases. One hundred articles about radiotherapy for cervical cancer were identified. The following important information was extracted: author, journal, year and month of publication, country or region, and radiotherapy technologies. RESULTS: The 100 most cited articles on cervical cancer radiotherapy were published between 1964 and 2016, and the total citations from 2 databases ranged from 3478 to 211, including a total of 49,262 citations as of September 29, 2019. The index of citations per year ranged from 170.4 to 13.1. These articles were from 16 countries or regions, with most publications being from the United States (n = 38), followed by Austria (n = 15), Canada (n = 8), France (n = 8) and the United Kingdom (n = 7). The International Journal of Radiation Oncology, Biology, Physics produced the most articles (n = 42), followed by Radiotherapy and Oncology (n = 13), Cancer (n = 8) and Journal of Clinical Oncology (n = 7). These articles were categorized as original studies (n = 86), recommendations (n = 5), guidelines (n = 5) and reviews (n = 4). Of the 100 most cited articles, intracavitary brachytherapy (n = 50) and 3-dimensional conformal radiotherapy (n = 34) were the most commonly used treatment techniques. CONCLUSION: To the best of our knowledge, this is the first report and analysis of the most cited articles on cervical cancer radiotherapy. This bibliographic study presents the history of technological development in external radiation therapy and brachytherapy. Brachytherapy is an indispensable part of radiotherapy for cervical cancer. The International Journal of Radiation Oncology Biology Physics is the journal with the most publications related to cervical cancer radiotherapy.


Assuntos
Braquiterapia/métodos , Publicações/estatística & dados numéricos , Neoplasias do Colo do Útero/radioterapia , Áustria/epidemiologia , Bibliometria , Biologia/estatística & dados numéricos , Canadá/epidemiologia , Bases de Dados Factuais , Feminino , França/epidemiologia , Humanos , Oncologia/estatística & dados numéricos , Pessoa de Meia-Idade , Física/estatística & dados numéricos , Publicações/tendências , Radioterapia (Especialidade)/estatística & dados numéricos , Reino Unido/epidemiologia , Estados Unidos/epidemiologia
17.
J Card Surg ; 35(10): 2734-2736, 2020 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-33043662

RESUMO

BACKGROUND AND AIM: To evaluate the publication rate of articles related to cardiac surgery in the four main cardiovascular journals over the last 5 years. METHODS: A bibliometric review of all full-length articles published between January 2014 and March 2020 in the top four cardiovascular journals (Circulation, European Heart Journal (EHJ), Journal of the American College of Cardiology (JACC), and JAMA Cardiology) was conducted. For each eligible article in the four journals, the journal of publication, study design, area of interest, country of origin, and type of intervention tested (for cardiac surgery and interventional cardiology studies) were extracted. The affiliations of all editorial board members were identified from journal websites or from online searches and recorded as from cardiac surgery, cardiology, or another discipline. Correlations between variables were evaluated. RESULTS: A total of 4835 articles were reviewed. Cardiac surgery studies amounted to 6.2% (104) of total research publications in JACC, 4.4% (74) in Circulation, 3.6% (13) in JAMA Cardiology, and 2.0% (22) in EHJ (P < .001). The percentage of cardiac surgery publications was significantly less than interventional cardiology publications (P < .001). CONCLUSIONS: Cardiac surgery studies represent only a small minority of the articles published in the top cardiovascular journals over the last 5 years, with significant differences between individual journals. Cardiac surgery studies were more often observational and this may constitute one important reason for their under-representation.


Assuntos
Bibliografias como Assunto , Cardiologia , Publicações Periódicas como Assunto , Publicações/estatística & dados numéricos , Pesquisa/estatística & dados numéricos , Sociedades Médicas/organização & administração , Cardiologia/organização & administração , Humanos , Fatores de Tempo
19.
Artigo em Inglês | MEDLINE | ID: mdl-32867133

RESUMO

OBJECTIVE: The outbreak of infectious diseases has a negative influence on public health and the economy. The prediction of infectious diseases can effectively control large-scale outbreaks and reduce transmission of epidemics in rapid response to serious public health events. Therefore, experts and scholars are increasingly concerned with the prediction of infectious diseases. However, a knowledge mapping analysis of literature regarding the prediction of infectious diseases using rigorous bibliometric tools, which are supposed to offer further knowledge structure and distribution, has been conducted infrequently. Therefore, we implement a bibliometric analysis about the prediction of infectious diseases to objectively analyze the current status and research hotspots, in order to provide a reference for related researchers. METHODS: We viewed "infectious disease*" and "prediction" or "forecasting" as search theme in the core collection of Web of Science from inception to 1 May 2020. We used two effective bibliometric tools, i.e., CiteSpace (Drexel University, Philadelphia, PA, USA) and VOSviewer (Leiden University, Leiden, The Netherlands) to objectively analyze the data of the prediction of infectious disease domain based on related publications, which can be downloaded from the core collection of Web of Science. Then, the leading publications of the prediction of infectious diseases were identified to detect the historical progress based on collaboration analysis, co-citation analysis, and co-occurrence analysis. RESULTS: 1880 documents that met the inclusion criteria were extracted from Web of Science in this study. The number of documents exhibited a growing trend, which can be expressed an increasing number of experts and scholars paying attention to the field year by year. These publications were published in 427 different journals with 11 different document types, and the most frequently studied types were articles 1618 (83%). In addition, as the most productive country, the United States has provided a lot of scientific research achievements in the field of infectious diseases. CONCLUSION: Our study provides a systematic and objective view of the field, which can be useful for readers to evaluate the characteristics of publications involving the prediction of infectious diseases and for policymakers to take timely scientific responses.


Assuntos
Bibliometria , Doenças Transmissíveis , Surtos de Doenças , Publicações , Doenças Transmissíveis/epidemiologia , Eficiência , Previsões , Humanos , Países Baixos , Philadelphia
20.
Medicine (Baltimore) ; 99(33): e21552, 2020 Aug 14.
Artigo em Inglês | MEDLINE | ID: mdl-32872003

RESUMO

BACKGROUND: Individual researchers' achievements (IRA) are determined by both personal publications and article citations such as Author Impact Factor, h-index, and x-index. Due to those indicators not truly supporting a normal distribution, the traditional t-test and Analysis of variance are not allowed for RA comparison in groups. The objective of this study is to use the bootstrapping method to verify whether hospital physicians have different h-indexes. METHODS: We downloaded 63,266 journal articles with their corresponding citations for 2128 researchers from a Taiwan university website on December 10, 2019. Their IRAs were assessed using the bibliometric h-index. A pyramid plot was used to compare the h-index patterns between institutes. The x-index and the Kano model were found to be complemental to the h-index for identifying the group IRA characteristics and rankings, including colleges and departments in the university study, the School of Medicine, and the Affiliated Hospital. The bootstrapping method was applied with an estimated 95% confidence interval (CI) to distinguish the differences in physicians between the Internal Medicine and Surgery departments. The stronger-than-the-next coefficient (SC) for the highest represents the RA strength. RESULTS: The highest h-indices were found in the College of Engineering, School of Medicine, and the Department of Internal Medicine in groups of colleges (SC = 0.71), all departments (SC = 0.83), the School of Medicine (SC = 0.74), and the Affiliated Hospital (SC = 0.56), respectively. No difference in h-index for hospital physicians was found between departments in Internal Medicine (Mean = 2.14, 95% CI = 1.02,3.26) and Surgery (mean = 2.5, 95%CI = 1.48, 3.52). CONCLUSIONS: The x-index and the Kano models can complement the h-index for identifying group IRA characteristics. The bootstrapping method allows estimation of the sampling distribution for almost any statistic using random sampling methods and gains measures of accuracy (as defined by 95% CI). The finding of no difference in h-index for hospital physicians between departments in Internal Medicine and Surgery requires further investigation in the future.


Assuntos
Logro , Médicos Hospitalares , Publicações/estatística & dados numéricos , Bibliometria , Humanos
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