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COVID-19: a crash test for biomedical publishing?

Iourov, I. Y.; Zelenova, M. A.; Vorsanova, S. G.

2020-08-17 health informatics
10.1101/2020.06.13.20130310 medRxiv
Show abstract

The effect of COVID-19 on biomedical publishing (BP) (i.e. scientific biomedical periodicals continuously published by research communities or commercial publishers) has not been deeply explored. To estimate the immediate COVID-19 impact on BP, we have assessed PubMed-indexed articles about COVID-19 (PMIAC) from December 2019 to April 2020. PMIAC have been classified according to publication date, country, and journals for evaluation of time-, region- and scientometric-dependant impact of COVID-19 on BP and have been curated manually (i.e. each entry has been individually analyzed). PMIAC analysis reflects geographic and temporal parameters of outbreak spread. A major BP problem is related to the fact that only 40% of articles report/review/analyze data. Another BP weakness is the clusterization of "highly-trusted" publications according to countries of origin and "highly impacting" journals. Finally, a problem highlighted by COVID-19 crisis is the increased specification of biomedical research. To solve the problem, analytical reviews integrating data from different areas of biology and medicine are required. The data on PMIAC suggest priority of "what is published" over "where it is published" and "who are the authors". We believe that our brief analysis may help to shape forthcoming BP to become more effective in solving immediate problems resulted from global threats.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.