Bibliometric Analysis: A Few Suggestions.

In an era marked by the exponential growth of scientific production, bibliometric analysis (BA) has emerged as indispensable tool for understanding the dynamics of research fields. In this review, we tried to provide a few tips which can be incorporated in BA. For instance; (a) solely presenting the number of publications per year is not an ideal approach. There is need to provide (at least) per-year citations and the total h-index of all publications, which may offer more nuanced and informative perspective on research productivity and influence. (b) traditionally, a researcher's performance has been assessed primarily through the number of publications and the h-index. While these metrics offer valuable insights into scholarly output and citation impact, this review aims to broaden the perspective on researcher evaluation by exploring a diverse array of alternative performance indicators. (c) co-word occurrence analysis has been a cornerstone for identifying thematic relationships among publications. We presented a few simple concepts i.e. keywords dynamic, and trends alongside traditional co-word analysis. The normal procedure of BA involves, data collection, publication trends, authorship and collaboration, citation analysis, keyword analysis, geographical and institutional trends, journal analysis, research impact, and visualization. We tried to provide some theoretical foundation, which may help the readers understand the context and principles behind the analysis.

Project to improve the management of the head injury patients presenting to the emergency department.

INTRODUCTION: At Sandwell General Hospital, there was no risk stratification tool or pathway for head injury (HI) patients presenting to the emergency department (ED). This resulted in significant delays in the assessment of HI patients, compromising patient safety and quality of care. AIMS: To employ quality improvement methodology to design an effective adult HI pathway that: ensured >90% of high-risk HI patients being assessed by ED clinicians within 15 min of arrival, reduce CT turnaround times, and aiming to keep the final decision making <4 hours. METHODS: SWOT analysis was performed; driver diagrams were used to set out the aims and objectives. Plan-Do-Study-Act cycle was used to facilitate the change and monitor the outcomes. Process map was designed to identify the areas for improvement. A new HI pathway was introduced, imaging and transporting the patients was modified, and early decisions were made to meet the standards. RESULTS: Data were collected and monitored following the interventions. The new pathway improved the proportion of patients assessed by the ED doctors within 15 min from 31% to 63%. The average time to CT head scan was decreased from 69 min to 53 min. Average CT scan reporting time also improved from 98 min to 71 min. Overall, the average time to decision for admission or discharge decreased from 6 hours 48 min to 4 hours 24 min. CONCLUSIONS: Following implementation of the new HI pathway, an improvement in the patient safety and quality of care was noted. High-risk HI patients were picked up earlier, assessed quicker and had CT head scans performed sooner. Decision time for admission/discharge was improved. The HI pathway continues to be used and will be reviewed and re-audited between 3 and 6 months to ensure the sustained improvement.

Establishing haptic texture attribute space and predicting haptic attributes from image features using 1D-CNN.

The current study strives to provide a haptic attribute space where texture surfaces are located based on their haptic attributes. The main aim of the haptic attribute space is to come up with a standardized model for representing and identifying haptic textures analogous to the RGB model for colors. To this end, a four dimensional haptic attribute space is established by conducting a psychophysical experiment where human participants rate 100 real-life texture surfaces according to their haptic attributes. The four dimensions of the haptic attribute space are rough-smooth, flat-bumpy, sticky-slippery, and hard-soft. The generalization and scalability of the haptic attribute space is achieved by training a 1D-CNN model for predicting attributes of haptic textures. The 1D-CNN is trained using the attribute data from psychophysical experiments and image features collected from the images of real textures. The prediction power granted by the 1D-CNN renders scalability to the haptic attribute space. The prediction accuracy of the proposed 1D-CNN model is compared against other machine learning and deep learning algorithms. The results show that the proposed method outperforms the other models on MAE and RMSE metrics.

Bibliometric analysis of endocrinology, diabetes and metabolism research in South Asia from (2012-2021): Comparison with five developed countries.

BACKGROUND AND AIMS: In the present study the research output of the South Asian region (India, Pakistan, Bangladesh, Sri Lanka, Nepal, Maldives, and Bhutan) in endocrinology, diabetes and metabolism (EDM) is highlighted. It was compared with five scientifically advanced countries i.e. USA, UK, Italy, Japan and China. METHODS: On September 13, 2022, the data was retrieved from the Scopus database. The analysis focused on the number of publications, total citations (TC), citations per paper (CPP), field-weighted citations impact (FWCI), and degree of international collaboration. RESULTS: In South Asia, India produced the highest number of publications (n = 7048), followed by Pakistan (n = 799), Bangladesh (n = 345), Sri Lanka (n = 256), Nepal (n = 144), Maldives (n = 12) and Bhutan (n = 4). The highest CPP (n = 19.4) and FWCI (n = 1.18) was recorded for Sri Lanka. Furthermore, USA (n = 64022), China (n = 23991), UK (n = 21449), Italy (n = 18884), and Japan (n = 12875), published the highest number of documents with the highest citations and FWCI in the world. It was noted that India published the highest number of documents (n = 47.28%) in the quartiles (Q) 6 and Q7. Pakistan produced the highest number of documents (n = 64.22%) in the top 50% of journals (Q1 to Q5). South Asian countries produced 8332 publications, with 130382 TC, 15.6 CPP and 1.06 FWCI. Importantly 46.50% of documents from South Asian countries were published in Q6 and Q7 journals. In contrast USA, UK, Italy, Japan and China published 77% documents in top 50% journals. CONCLUSIONS: Although the South Asian research publications have increased yearly (from 2012 to 2021), but approximately 50% of the South Asian output were in the lower quartile journals. Consequently, significant measures are needed to improve the quantity and quality of EDM research produced in South Asian coutries.