Dataset Information

Scientometric analyzing the output of researchers and organizations on COVID-19 for better conducting the scientific efforts: with a glance to endocrinology.

ABSTRACT:

Purpose

As COVID-19 spreads rapidly and could affect the people and also lead to their death, especially individuals with underlying diseases, such as diabetes, the research community is also active in publishing novel research about it. Analyzing scientific outputs in this topic can represent an overview of publications. For this purpose, this study was conducted to determine status of publishing research works related to COVID-19 and analyzing the all documents published and indexed in Web of Science database and illustrate the co-occurrence and co-authority of hot papers in this documents.

Methodology

Our search strategy was based on using the related key terms including COVID-19, coronavirus, SARS2, etc., to find out all the published scientific works related to coronavirus disease indexed in web of science (WoS) in 2020. We then extracted the all hot papers and especially hot papers in endocrinology category and analyzed them. The data saved and imported in VOSviewer and ScientoPy programs for analysis and illustration of our data. We have shown our analysis in the tables, figures and maps.

Results

Totally, 56,402 records and 309 hot papers were retrieved. 3 of these hot papers were in endocrinology category. The most common type of publication was original papers followed by editorial papers in the second rank. The country with the most published documents was the USA followed by China. The journals of "British Medical Journal" and "Journal of Medical Virology" were ranked as the first and second sources, respectively. The "Harvard University" was the top organization with high proportion of scientific publications and "the Lancet" was the top-ranked journal that published highly-cited papers.

Conclusion

The literature on COVID-19 is increasing with a high and fast growth. In this regard, there is a need to evaluate these publications once in a while and their results should be published to use this information for more effective management of future research works with emphasizes on the gaps of researches and more citable documents and allocation of budgets on more needed research and don't carry out the duplicates research. This would be helpful for prevention, control, and treatment of COVID-19 that is now among the most common topics in the world.

SUBMITTER: Atlasi R

PROVIDER: S-EPMC7843242 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:IntroductionPhD is the highest awarded degree offered by universities in different disciplines. Owners of a PhD can teach at universities, start independent research and receive a higher salary while further building a scientific career. We examined whether the publication output before the PhD degree has a correlation with subsequent research activities.MethodsWe downloaded publication and citation data from the Hungarian Scientific Bibliography for Hungarian researchers who obtained PhD between the ages of 24 and 45. The researchers were grouped into eleven scientific sections. We examined the number of Q1 publications published in the previous 5 years, the H-index, the total number of citations for the last complete year, and the biological age of the researcher. Each parameter was computed for the year at which the PhD was obtained and ten years later. Pre-PhD publications (and citations for these) were excluded when assessing post-PhD track records. Spearman rank correlation and Kruskal-Wallis test were computed.ResultsWe analyzed all together 4,790 researchers. We obtained a positive correlation between the number of Q1 publications before and after PhD (corr. coeff. = 0.21-0.54, p<0.01 in all sections), between the H-index before and after PhD (corr. coeff. = 0.32-0.56, p<0.01 in all sections), and between the citations received before and after PhD (corr. coeff. = 0.34-0.51, p<0.01 in all sections). All three metrics measured ten years after the PhD were negatively correlated with the age of the researcher at the time of obtaining the PhD (number of publications corr. coeff. = -0.09-0.22, p<0.05; H-index corr. coeff. = -0.09-0.29, p<0.08; number of citations corr. coeff. = -0.14-0.30, p<0.01). Among all disciplines, Philosophy and History and Engineering sciences show the strongest correlation between pre- and post-PhD output. When running multiple regression analysis for all three metrics as dependent variables and the number of articles, the H-index, the number of citations in the year of the PhD, the calendar year of PhD, and the gender of the researcher as independent variables, the number of articles and the H-index in the year of PhD reached the strongest positive correlations while gender had a negative correlation.ConclusionsWe independently evaluated pre- and post-PhD publication performance. In connection with age, the discipline-specific reference values of scientometric parameters at the time of obtaining the PhD can help to select candidates for postdoctoral grants and positions.