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1.
J Foot Ankle Res ; 13(1): 38, 2020 Jun 23.
Artigo em Inglês | MEDLINE | ID: mdl-32576291

RESUMO

The recent and rapid emergence of COVID-19 infection has led to a flood of publications describing all aspects of the disease and its presentation. The appearance of chilblain-like lesions, in children and young adults has particularly caught the attention of healthcare professionals with an interest in the foot. With such a novel infection, demand for information is high at a time when evidence is scarce. Consequently, there has been a renaissance in the publication of case studies. This type of research, previously relegated from many mainstream journals, as a low level source of evidence, has permitted the rapid reporting, publication and dissemination of much needed clinical data which can be used as a foundation to inform further research and investigations about a new global infection.


Assuntos
Infecções por Coronavirus , Medicina Baseada em Evidências , Pandemias , Pneumonia Viral , Publicações/tendências , Projetos de Pesquisa/tendências , Betacoronavirus/isolamento & purificação , Infecções por Coronavirus/diagnóstico , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/fisiopatologia , Infecções por Coronavirus/terapia , Gerenciamento Clínico , Medicina Baseada em Evidências/métodos , Medicina Baseada em Evidências/tendências , Doenças do Pé/epidemiologia , Doenças do Pé/terapia , Humanos , Pneumonia Viral/diagnóstico , Pneumonia Viral/epidemiologia , Pneumonia Viral/fisiopatologia , Pneumonia Viral/terapia
2.
Natl Vital Stat Rep ; 69(2): 1-18, 2020 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-32510319

RESUMO

This report describes changes in how the National Center for Health Statistics (NCHS) will code, publish, and release maternal mortality data and presents official 2018 maternal mortality estimates using a new coding method. Due to the incremental implementation of the pregnancy status checkbox item on the 2003 revised U.S. Standard Certificate of Death, NCHS last published an official estimate of the U.S. maternal mortality rate in 2007. As of 2018, implementation of the revised certificate, including its pregnancy checkbox, is complete for all 50 states (noting that California implemented a different checkbox than that on the U.S. Standard Certificate of Death), allowing NCHS to resume the routine publication of maternal mortality statistics. However, an evaluation of data quality indicated some errors with the reporting of maternal deaths (deaths within 42 days of pregnancy) following adoption of the checkbox, including overreporting of maternal deaths among older women. Therefore, NCHS has adopted a new method (to be called the 2018 method) for coding maternal deaths to mitigate these probable errors. The 2018 method involves further restricting application of the pregnancy checkbox to decedents aged 10-44 years from the previous age group of 10-54. In addition, the 2018 method restricts assignment of maternal codes to the underlying cause alone when the checkbox is the only indication of pregnancy on the death certificate, and such coding would be applied only to decedents aged 10-44 based solely on the checkbox when no other pregnancy information is provided in the cause-of-death statement. Based on the new method, a total of 658 deaths were identified in 2018 as maternal deaths. The maternal mortality rate for 2018 was 17.4 deaths per 100,000 live births, and the rate for non-Hispanic black women (37.1) was 2.5 to 3.1 times the rates for non-Hispanic white (14.7) and Hispanic (11.8) women. Rates also increased with age. Maternal mortality rates calculated without using information obtained from the checkbox are also presented for 2002, 2015, 2016, 2017, and 2018 to provide comparisons over time using a comparable coding approach across all states.


Assuntos
Atestado de Óbito , Mortalidade Materna/tendências , National Center for Health Statistics, U.S. , Adolescente , Adulto , Causas de Morte , Criança , Feminino , Humanos , Disseminação de Informação , Pessoa de Meia-Idade , Gravidez , Publicações , Estados Unidos/epidemiologia , Adulto Jovem
3.
J Anesth Hist ; 6(2): 84-89, 2020 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-32593382

RESUMO

PURPOSE: One of the most interesting signs of growth in a medical specialty is the addition of pain medicine as a clinical subspecialty to it. The aim of this study was to analyze publication-based academic interest in pain medicine among clinical specialties with long-standing involvement in pain management. METHODS: We assessed the activity within several specialties in the development of an academic foundation for pain medicine by measuring the frequency of the most common pain topics (1998-2017) in academic journals representing such specialties. The selection of materials for the analysis of publication-based academic interest associated with the development of pain medicine followed a three-step process: (1) Medical specialties, limited to those with accredited fellowship training in pain medicine for more than 20 years - anesthesiology, neurology, physiatry, and psychiatry; (2) Pain topics, based on the degree of topic association with the work of pain clinics - a total of 34 topics; (3) Specialty journals, mostly official journals of societies publishing articles representing all aspects of a specialty - four journals per specialty. Specialty-related academic interest was characterized in two dimensions: its breadth (the number of different topics of interest with distinctly high shares of publications) and its intensity (maximal number of publications on a particular topic). RESULTS: According to the number of topics with a distinctly high share of articles per topic (≥ 5%), the rank order of specialties was as follows (of 34 topics): anesthesiology (22), physiatry (20), neurology (10), and psychiatry (0). Regarding comparative intensity of interest, anesthesiology has prevailing interest in 16 topics (especially in postoperative pain and pharmacologic pain treatment), physiatry in 13 topics (especially in physical methods of pain therapy), and neurology in one topic (headache disorders). CONCLUSION: Publication-based academic interest in pain management was most intensive in two specialties, anesthesiology and physiatry, with anesthesiology being somewhat more multifaceted, especially in the methods of pain treatment.


Assuntos
Anestesiologia/estatística & dados numéricos , Neurologia/estatística & dados numéricos , Manejo da Dor , Medicina Física e Reabilitação/estatística & dados numéricos , Psiquiatria/estatística & dados numéricos , Publicações/estatística & dados numéricos , Bibliometria , Humanos
4.
Health Res Policy Syst ; 18(1): 52, 2020 Jun 01.
Artigo em Inglês | MEDLINE | ID: mdl-32487103

RESUMO

The global health crisis created by COVID-19 is providing valuable insights into the strengths of our health research system and, perhaps even more clearly, displaying its weaknesses. Much of what is being shown so plainly in the current context is not truly new. We are being reminded that health research systems are slow and noisy as well as that there is a desire for research to inform decision-making, that researchers are great collaborators, and that the walls we are so quick to erect between health research and health practice are unhelpful facades. It is our hope that the clarity with which these issues are being demonstrated by COVID-19 might provide the impetus to address these challenges and seize these opportunities to improve our health research system, for the benefit for communities facing COVID-19 now, and for the benefit of us all in facing the further health challenges that are sure to come.


Assuntos
Betacoronavirus , Pesquisa Biomédica , Infecções por Coronavirus/prevenção & controle , Pandemias/prevenção & controle , Pneumonia Viral/prevenção & controle , Comportamento Cooperativo , Difusão de Inovações , Política de Saúde , Humanos , Disseminação de Informação , Publicações , Pesquisadores
5.
PLoS One ; 15(5): e0232942, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32453750

RESUMO

The recent decrease in cost and time to sequence and assemble of complete genomes created an increased demand for data storage. As a consequence, several strategies for assembled biological data compression were created. Vertical compression tools implement strategies that take advantage of the high level of similarity between multiple assembled genomic sequences for better compression results. However, current reviews on vertical compression do not compare the execution flow of each tool, which is constituted by phases of preprocessing, transformation, and data encoding. We performed a systematic literature review to identify and compare existing tools for vertical compression of assembled genomic sequences. The review was centered on PubMed and Scopus, in which 45726 distinct papers were considered. Next, 32 papers were selected according to the following criteria: to present a lossless vertical compression tool; to use the information contained in other sequences for the compression; to be able to manipulate genomic sequences in FASTA format; and no need prior knowledge. Although we extracted performance compression results, they were not compared as the tools did not use a standardized evaluation protocol. Thus, we conclude that there's a lack of definition of an evaluation protocol that must be applied by each tool.


Assuntos
Compressão de Dados/métodos , Armazenamento e Recuperação da Informação/métodos , Análise de Sequência de DNA/métodos , Algoritmos , Genoma , Genômica/métodos , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Humanos , Publicações , Software
6.
BMC Bioinformatics ; 21(1): 217, 2020 May 27.
Artigo em Inglês | MEDLINE | ID: mdl-32460703

RESUMO

BACKGROUND: Enzymatic and chemical reactions are key for understanding biological processes in cells. Curated databases of chemical reactions exist but these databases struggle to keep up with the exponential growth of the biomedical literature. Conventional text mining pipelines provide tools to automatically extract entities and relationships from the scientific literature, and partially replace expert curation, but such machine learning frameworks often require a large amount of labeled training data and thus lack scalability for both larger document corpora and new relationship types. RESULTS: We developed an application of Snorkel, a weakly supervised learning framework, for extracting chemical reaction relationships from biomedical literature abstracts. For this work, we defined a chemical reaction relationship as the transformation of chemical A to chemical B. We built and evaluated our system on small annotated sets of chemical reaction relationships from two corpora: curated bacteria-related abstracts from the MetaCyc database (MetaCyc_Corpus) and a more general set of abstracts annotated with MeSH (Medical Subject Headings) term Bacteria (Bacteria_Corpus; a superset of MetaCyc_Corpus). For the MetaCyc_Corpus, we obtained 84% precision and 41% recall (55% F1 score). Extending to the more general Bacteria_Corpus decreased precision to 62% with only a four-point drop in recall to 37% (46% F1 score). Overall, the Bacteria_Corpus contained two orders of magnitude more candidate chemical reaction relationships (nine million candidates vs 68,0000 candidates) and had a larger class imbalance (2.5% positives vs 5% positives) as compared to the MetaCyc_Corpus. In total, we extracted 6871 chemical reaction relationships from nine million candidates in the Bacteria_Corpus. CONCLUSIONS: With this work, we built a database of chemical reaction relationships from almost 900,000 scientific abstracts without a large training set of labeled annotations. Further, we showed the generalizability of our initial application built on MetaCyc documents enriched with chemical reactions to a general set of articles related to bacteria.


Assuntos
Mineração de Dados/métodos , Bactérias/metabolismo , Fenômenos Bioquímicos , Bases de Dados Factuais , Humanos , Aprendizado de Máquina , Publicações , Software
7.
PLoS One ; 15(5): e0232458, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32401823

RESUMO

INTRODUCTION: Research productivity has been linked to a country's intellectual and economic wealth. Further analysis is needed to assess the association between the distribution of research across disciplines and the economic status of countries. METHODS: By using 55 years of data, spanning 1962 to 2017, of Elsevier publications across a large set of research disciplines and countries globally, this manuscript explores the relationship and evolution of relative research productivity across different disciplines through a network analysis. It also explores the associations of those with economic productivity categories, as measured by the World Bank economic classification. Additional analysis of discipline similarities is possible by exploring the cross-country evolution of those disciplines. RESULTS: Results show similarities in the relative importance of research disciplines among most high-income countries, with larger idiosyncrasies appearing among the remaining countries. This group of high-income countries shows similarities in the dynamics of the relative distribution of research productivity over time, forming a stable research productivity cluster. Lower income countries form smaller, more independent and evolving clusters, and differ significantly from each other and from higher income countries in the relative importance of their research emphases. Country-based similarities in research productivity profiles also appear to be influenced by geographical proximity. CONCLUSIONS: This new form of analyses of research productivity, and its relation to economic status, reveals novel insights to the dynamics of the economic and research structure of countries. This allows for a deeper understanding of the role a country's research structure may play in shaping its economy, and also identification of benchmark resource allocations across disciplines for developing countries.


Assuntos
Eficiência , Pesquisa , Países Desenvolvidos/economia , Países Desenvolvidos/estatística & dados numéricos , Países em Desenvolvimento/economia , Países em Desenvolvimento/estatística & dados numéricos , Status Econômico , Geografia/estatística & dados numéricos , Humanos , Publicações/economia , Publicações/estatística & dados numéricos , Publicações/tendências , Pesquisa/economia , Pesquisa/estatística & dados numéricos , Pesquisa/tendências , Comunicação Acadêmica/economia , Comunicação Acadêmica/estatística & dados numéricos , Comunicação Acadêmica/tendências
8.
PLoS One ; 15(5): e0230961, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32374737

RESUMO

Is it appropriate for scientists to engage in political advocacy? Some political critics of scientists argue that scientists have become partisan political actors with self-serving financial agendas. However, most scientists strongly reject this view. While social scientists have explored the effects of science politicization on public trust in science, little empirical work directly examines the drivers of scientists' interest in and willingness to engage in political advocacy. Using a natural experiment involving the U.S. National Science Foundation Graduate Research Fellowship (NSF-GRF), we causally estimate for the first time whether scientists who have received federal science funding are more likely to engage in both science-related and non-science-related political behaviors. Comparing otherwise similar individuals who received or did not receive NSF support, we find that scientists' preferences for political advocacy are not shaped by receiving government benefits. Government funding did not impact scientists' support of the 2017 March for Science nor did it shape the likelihood that scientists donated to either Republican or Democratic political groups. Our results offer empirical evidence that scientists' political behaviors are not motivated by self-serving financial agendas. They also highlight the limited capacity of even generous government support programs to increase civic participation by their beneficiaries.


Assuntos
Comportamento/ética , Financiamento Governamental , Pessoal de Laboratório/ética , Política , Política Ambiental/economia , Política Ambiental/legislação & jurisprudência , Financiamento Governamental/ética , Financiamento Governamental/normas , Programas Governamentais/economia , Programas Governamentais/ética , Programas Governamentais/normas , Política de Saúde/economia , Política de Saúde/legislação & jurisprudência , Humanos , Pessoal de Laboratório/economia , Pessoal de Laboratório/psicologia , Má Conduta Profissional/ética , Política Pública , Setor Público/ética , Publicações/economia , Publicações/ética , Publicações/legislação & jurisprudência , Publicações/normas , Ciência/economia , Ciência/ética , Confiança , Estados Unidos
9.
PLoS One ; 15(5): e0232547, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32413094

RESUMO

Scientific information extraction is a crucial step for understanding scientific publications. In this paper, we focus on scientific keyphrase extraction, which aims to identify keyphrases from scientific articles and classify them into predefined categories. We present a neural network based approach for this task, which employs the bidirectional long short-memory (LSTM) to represent the sentences in the article. On top of the bidirectional LSTM layer in our neural model, conditional random field (CRF) is used to predict the label sequence for the whole sentence. Considering the expensive annotated data for supervised learning methods, we introduce self-training method into our neural model to leverage the unlabeled articles. Experimental results on the ScienceIE corpus and ACL keyphrase corpus show that our neural model achieves promising performance without any hand-designed features and external knowledge resources. Furthermore, it efficiently incorporates the unlabeled data and achieve competitive performance compared with previous state-of-the-art systems.


Assuntos
Aprendizado Profundo , Armazenamento e Recuperação da Informação/métodos , Redes Neurais de Computação , Modelos Estatísticos , Processamento de Linguagem Natural , Publicações
10.
Environ Sci Pollut Res Int ; 27(24): 29824-29836, 2020 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-32468368

RESUMO

Due to the environmental impact associated with the products' use, sustainable design has extended consideration of products' production to consumption. This study puts forward the concept of sustainable design for users (SDfUs). Using related keywords of sustainable design and user-centered design, we identify a total of 447 usable articles published during 1992-2019 from Scopus. Results of bibliometric analysis show that the number of SDfUs articles has generally continuously increased since 2007. The most productive scholars are from the USA, the UK, and China, while the top three organizations are Loughborough University, Norwegian University of Science and Technology, and Delft University of Technology. Different focuses of SDfUs appear among developed and developing countries. Green building design has emerged as one key area that uses the concept of SDfUs in developed countries such as the USA and the UK. SDfUs studies in developing countries such as China focus on design for end-of-life products' treatment and disposal. Most SDfUs studies examine how design can contribute to environmental performance through emission reduction and energy saving during products' use, and articles in one of five clusters from co-word analysis explore users' behaviors for sustainable design in the textile industry. This paper is the first study that systematically reviews the literature on SDfUs. It provides valuable insights for scholars in the SDfUs-related fields to identify their research directions and partners. Results on clusters from network analysis also offer practical implications for enterprises to learn from the construction and textile industries.


Assuntos
Bibliometria , Publicações , China
11.
BMC Bioinformatics ; 21(1): 213, 2020 May 24.
Artigo em Inglês | MEDLINE | ID: mdl-32448122

RESUMO

BACKGROUND: Semantic resources such as knowledge bases contains high-quality-structured knowledge and therefore require significant effort from domain experts. Using the resources to reinforce the information retrieval from the unstructured text may further exploit the potentials of such unstructured text resources and their curated knowledge. RESULTS: The paper proposes a novel method that uses a deep neural network model adopting the prior knowledge to improve performance in the automated extraction of biological semantic relations from the scientific literature. The model is based on a recurrent neural network combining the attention mechanism with the semantic resources, i.e., UniProt and BioModels. Our method is evaluated on the BioNLP and BioCreative corpus, a set of manually annotated biological text. The experiments demonstrate that the method outperforms the current state-of-the-art models, and the structured semantic information could improve the result of bio-text-mining. CONCLUSION: The experiment results show that our approach can effectively make use of the external prior knowledge information and improve the performance in the protein-protein interaction extraction task. The method should be able to be generalized for other types of data, although it is validated on biomedical texts.


Assuntos
Algoritmos , Atenção/fisiologia , Bases de Conhecimento , Semântica , Bases de Dados Genéticas , Humanos , Redes Neurais de Computação , Publicações
12.
Artigo em Inglês | MEDLINE | ID: mdl-32466477

RESUMO

BACKGROUND: COVID-19 has become one of the most serious global epidemics in the 21st Century. This study aims to explore the distribution of research capabilities of countries, institutions, and researchers, and the hotspots and frontiers of coronavirus research in the past two decades. In it, references for funding support of urgent projects and international cooperation among research institutions are provided. METHOD: the Web of Science core collection database was used to retrieve the documents related to coronavirus published from 2003 to 2020. Citespace.5.6.R2, VOSviewer1.6.12, and Excel 2016 were used for bibliometric analysis. RESULTS: 11,036 documents were retrieved, of which China and the United States have contributed the most coronavirus studies, Hong Kong University being the top contributor. Regarding journals, the Journal of Virology has contributed the most, while in terms of researchers, Yuen Kwok Yung has made the most contributions. The proportion of documents published by international cooperation has been rising for decades. Vaccines for SARS-CoV-2 are under development, and clinical trials of several drugs are ongoing. CONCLUSIONS: international cooperation is an important way to accelerate research progress and achieve success. Developing corresponding vaccines and drugs are the current hotspots and research directions.


Assuntos
Bibliometria , Pesquisa Biomédica/estatística & dados numéricos , Infecções por Coronavirus/epidemiologia , Pneumonia Viral/epidemiologia , Publicações/estatística & dados numéricos , Betacoronavirus , Bases de Dados Factuais , Humanos , Pandemias
13.
Euro Surveill ; 25(19)2020 05.
Artigo em Inglês | MEDLINE | ID: mdl-32431291

RESUMO

In response to urgent needs for updated evidence for decision-making on various aspects related to coronavirus disease (COVID-19), the Norwegian Institute of Public Health established a rapid review team. Using simplified processes and shortcuts, this team produces summary reviews on request within 1-3 days that inform advice provided by the institute. All reviews are published with explicit messages about the risk of overlooking key evidence or making misguided judgements by using such rapid processes.


Assuntos
Infecções por Coronavirus/epidemiologia , Coronavirus , Tomada de Decisões , Medicina Baseada em Evidências , Pandemias , Pneumonia Viral/epidemiologia , Revisões Sistemáticas como Assunto , Betacoronavirus , Infecções por Coronavirus/prevenção & controle , Humanos , Noruega/epidemiologia , Publicações Periódicas como Assunto , Pneumonia Viral/prevenção & controle , Publicações
15.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue ; 32(3): 279-286, 2020 Mar.
Artigo em Chinês | MEDLINE | ID: mdl-32385990

RESUMO

OBJECTIVE: To discuss the research progress in the field of coronavirus (CoVs) treatment based on the visualization analysis of knowledge graph. METHODS: The related literatures in the field of CoVs treatment were retrieved from the establishment of Web of Science core collection database to February 15th, 2020, and the literature analysis tool of Web of Science database was used to count the annual trend of published literatures. The VOSviewer software was used to analyze the relationship among countries, institutions, authors, clustering and density of subject words. The HistCite software was used to screen important documents and to draw the evolution process of hot spots. The CiteSpace software was used to analyze the breakout points of subject words, so as to find the front and hot spots in this field. RESULTS: A total of 1 747 data were retrieved, with the exception of 17 duplicate data, and 1 730 data were retained for visualization analysis. In terms of literature volume, the literatures on CoVs therapy rose after 2003 and 2012, and the number of published literatures had remained high since 2014. In terms of countries, the main countries that carried out the research on the treatment of CoVs were the United States (n = 613), China (n = 582), Germany (n = 122), Canada (n = 99), etc., and the cooperation among countries was close. In terms of institutions, the number of papers issued by Chinese Academy of Sciences in the field of CoVs treatment ranked first (n = 82), followed by University of Hong Kong of China (n = 74) and Chinese University of Hong Kong of China (n = 58), followed by National Institute of Allergy and Infectious Diseases (n = 37), and the cooperation among various institutions was close. In terms of literature authors, there were two high-yielding authors in the United States [Ralph S. Baric (n = 21) and Kuochen Chou (n = 17)], two Chinese authors [Yuen Kwok-yung (n = 17) and Jiang Shibo (n = 16)] and one Dutch author [Eric J. Snijder (n = 17)]. In terms of the cluster analysis of authors, the authors were closely related in reverse genetics, respiratory infection, receptor binding domain, etc., and the 15 top-cited papers came mainly from China, the United States, Netherlands and other countries, and the literature content represented the frontiers and hot spots in different periods. The treatment hot spots focused on preventing virus adsorption, inhibiting the virus gene nucleic acid replication, transcription and translation. The main subject words were divided into three main categories, namely, CoVs epidemiology, basic research and drug development, in which basic research and drug development were strongly correlated. In the subject words breakthrough analysis, there were time-related breakthrough points in 1991, 1996 and 2002, and the "diagnosis" and "sequence" were continuous hot spots. CONCLUSIONS: Through the visualization analysis of knowledge graph, the development trend and hot spots of CoVs therapy research could be well observed. In this study, the degree of attention in the field of CoVs treatment showed periodic changes, related to the outbreak of new CoVs, and the country, institutions and the author were closely related. The treatment hot spots focused on preventing virus adsorption, inhibiting the virus gene nucleic acid replication, transcription and translation in order to develop new targets of drug.


Assuntos
Infecções por Coronavirus/terapia , Coronavirus , Bibliometria , China , Bases de Dados Factuais , Humanos , Pandemias , Reconhecimento Automatizado de Padrão , Pneumonia Viral , Publicações , Estados Unidos
16.
Nature ; 581(7806): 30, 2020 05.
Artigo em Inglês | MEDLINE | ID: mdl-32372038
18.
Sud Med Ekspert ; 63(2): 58-63, 2020.
Artigo em Russo | MEDLINE | ID: mdl-32297501

RESUMO

The analysis of the publications of the journal "Forensic medical examination" in the field of research «identification¼ for the period from 1980 to 2018 is carried out. Using the scientometric method, we studied the dynamics of publications on the study of the development of the scientific direction in order to objectively evaluate its relevance and possible prospects. The results of the analytical study demonstrated a wide range of objects and research methods. The leading scientific development trends in the field of forensic medical identification of the person are established.


Assuntos
Bibliometria , Medicina Legal , Publicações/tendências , Projetos de Pesquisa
19.
PLoS Biol ; 18(4): e3000698, 2020 04.
Artigo em Inglês | MEDLINE | ID: mdl-32243442

RESUMO

Have you ever sought to use metagenomic DNA sequences reported in scientific publications? Were you successful? Here, we reveal that metagenomes from no fewer than 20% of the papers found in our literature search, published between 2016 and 2019, were not deposited in a repository or were simply inaccessible. The proportion of inaccessible data within the literature has been increasing year-on-year. Noncompliance with Open Data is best predicted by the scientific discipline of the journal. The number of citations, journal type (e.g., Open Access or subscription journals), and publisher are not good predictors of data accessibility. However, many publications in high-impact factor journals do display a higher likelihood of accessible metagenomic data sets. Twenty-first century science demands compliance with the ethical standard of data sharing of metagenomes and DNA sequence data more broadly. Data accessibility must become one of the routine and mandatory components of manuscript submissions-a requirement that should be applicable across the increasing number of disciplines using metagenomics. Compliance must be ensured and reinforced by funders, publishers, editors, reviewers, and, ultimately, the authors.


Assuntos
Acesso à Informação , Metagenoma , Publicações/estatística & dados numéricos , Bibliometria , Fator de Impacto de Revistas , Publicação de Acesso Aberto
20.
Medicine (Baltimore) ; 99(15): e19760, 2020 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-32282738

RESUMO

BACKGROUND: In recent years, metastatic castration-resistant prostate cancer (MCRPC) and studies related to MCRPC have drawn global attention. The main objective of this bibliometric study was to provide an overview of MCRPC, explore clusters and trends in research and investigate the future direction of MCRPC research. METHODS: A total of 4089 publications published between 1979 and 2018 were retrieved from the Web of Science (WoS) Core Collection database. Different aspects of MCRPC research, including the countries/territories, institutions, journals, authors, research areas, funding agencies and author keywords, were analyzed. RESULTS: The number of annual MCRPC publications increased rapidly after 2010. American researchers played a vital role in this increase, as they published the most publications. The most productive institution was Memorial Sloan Kettering Cancer Center. De Bono, JS (the United Kingdom [UK]) and Scher, HI (the United States of America [USA]) were the two most productive authors. The National Institutes of Health (NIH) funded the largest number of published papers. Analyses of keywords suggested that therapies (abiraterone, enzalutamide, etc.) would attract global attention after US Food and Drug Administration (FDA) approval. CONCLUSIONS: Developed countries, especially the USA, were the leading nations for MCRPC research because of their abundant funding and frequent international collaborations. Therapy was one of the most vital aspects of MCRPC research. Therapies targeting DNA repair or the androgen receptor (AR) signing pathway and new therapies especially prostate-specific membrane antigen (PSMA)-based radioligand therapy (RLT) would be the next focus of MCRPC research.


Assuntos
Neoplasias de Próstata Resistentes à Castração/tratamento farmacológico , Neoplasias de Próstata Resistentes à Castração/secundário , Publicações/normas , United States Food and Drug Administration/organização & administração , Androstenos/uso terapêutico , Bibliometria , Neoplasias Ósseas/secundário , Reparo do DNA/efeitos dos fármacos , Humanos , Masculino , Metástase Neoplásica , Feniltioidantoína/análogos & derivados , Feniltioidantoína/uso terapêutico , Antígeno Prostático Específico/sangue , Neoplasias de Próstata Resistentes à Castração/patologia , Publicações/tendências , Receptores Androgênicos/efeitos dos fármacos , Receptores Androgênicos/genética , Reino Unido/epidemiologia , Estados Unidos/epidemiologia
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