
doi: 10.5281/zenodo.5618048 , 10.5281/zenodo.6940006 , 10.5281/zenodo.5604401 , 10.5281/zenodo.7037788 , 10.5281/zenodo.5564978 , 10.5281/zenodo.5554838 , 10.5281/zenodo.6351131 , 10.5281/zenodo.5547918 , 10.5281/zenodo.5592752 , 10.5281/zenodo.6614830 , 10.5281/zenodo.5594945 , 10.5281/zenodo.5596769 , 10.5281/zenodo.5557141 , 10.5281/zenodo.5550329 , 10.5281/zenodo.5534576 , 10.5281/zenodo.5589896 , 10.5281/zenodo.5519619 , 10.5281/zenodo.5575977 , 10.5281/zenodo.5209552 , 10.5281/zenodo.5552799 , 10.5281/zenodo.7857506 , 10.5281/zenodo.5566887 , 10.5281/zenodo.5544144 , 10.5281/zenodo.5537226 , 10.5281/zenodo.5562387 , 10.5281/zenodo.5521633 , 10.5281/zenodo.5592879 , 10.5281/zenodo.5646631 , 10.5281/zenodo.5613272 , 10.5281/zenodo.5634348 , 10.5281/zenodo.5579987 , 10.5281/zenodo.8035282 , 10.5281/zenodo.6680199 , 10.5281/zenodo.6945865 , 10.5281/zenodo.5569577 , 10.5281/zenodo.7038086 , 10.5281/zenodo.7038415 , 10.5281/zenodo.5532518 , 10.5281/zenodo.5572594 , 10.5281/zenodo.5519231 , 10.5281/zenodo.6940926 , 10.5281/zenodo.8355012 , 10.5281/zenodo.7758511 , 10.5281/zenodo.7067955 , 10.5281/zenodo.5526833 , 10.5281/zenodo.5584979 , 10.5281/zenodo.5762663 , 10.5281/zenodo.5209553
doi: 10.5281/zenodo.5618048 , 10.5281/zenodo.6940006 , 10.5281/zenodo.5604401 , 10.5281/zenodo.7037788 , 10.5281/zenodo.5564978 , 10.5281/zenodo.5554838 , 10.5281/zenodo.6351131 , 10.5281/zenodo.5547918 , 10.5281/zenodo.5592752 , 10.5281/zenodo.6614830 , 10.5281/zenodo.5594945 , 10.5281/zenodo.5596769 , 10.5281/zenodo.5557141 , 10.5281/zenodo.5550329 , 10.5281/zenodo.5534576 , 10.5281/zenodo.5589896 , 10.5281/zenodo.5519619 , 10.5281/zenodo.5575977 , 10.5281/zenodo.5209552 , 10.5281/zenodo.5552799 , 10.5281/zenodo.7857506 , 10.5281/zenodo.5566887 , 10.5281/zenodo.5544144 , 10.5281/zenodo.5537226 , 10.5281/zenodo.5562387 , 10.5281/zenodo.5521633 , 10.5281/zenodo.5592879 , 10.5281/zenodo.5646631 , 10.5281/zenodo.5613272 , 10.5281/zenodo.5634348 , 10.5281/zenodo.5579987 , 10.5281/zenodo.8035282 , 10.5281/zenodo.6680199 , 10.5281/zenodo.6945865 , 10.5281/zenodo.5569577 , 10.5281/zenodo.7038086 , 10.5281/zenodo.7038415 , 10.5281/zenodo.5532518 , 10.5281/zenodo.5572594 , 10.5281/zenodo.5519231 , 10.5281/zenodo.6940926 , 10.5281/zenodo.8355012 , 10.5281/zenodo.7758511 , 10.5281/zenodo.7067955 , 10.5281/zenodo.5526833 , 10.5281/zenodo.5584979 , 10.5281/zenodo.5762663 , 10.5281/zenodo.5209553
A record of all COVID-19 related clinical trials is provided in the database hosted at https://ClinicalTrials.gov, thus tracking worldwide research efforts directed towards improvements in treating the pandemic. To help unlock insights buried in this database, we have created an automated text mining pipeline that dynamically tags chemical, protein, and gene names in all COVID-19 related database entries, as the database is updated. The output data from this tagging process are provided in this Zenodo entry. We plan to update these entries regularly. Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/.
Interactive graphical views of these data can be accessed via https://yan073.github.io/visualtag/
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
