Visualizing Tweet Activity for NIH Covid-19 Preprints
dc.contributor.author | Dolan, Levi | |
dc.date.accessioned | 2021-10-12T13:58:36Z | |
dc.date.available | 2021-10-12T13:58:36Z | |
dc.date.issued | 2021-10-11 | |
dc.description.abstract | As a result of the Covid-19 pandemic, the focus on preprint articles as a means of rapid research dissemination has sharply intensified. Produced as part of a larger project examining public comments on preprint articles, this poster breaks down an automated method which was used to gather geographic information via an Altmetric API for the 200k+ Tweets about 1,000 of the first articles in the NIH Preprint Pilot. The workflow in gathering the information for a final visualization is explained, with the results visualized as a global map overlaid with a scatterplot. | en_US |
dc.identifier.uri | https://hdl.handle.net/1805/26719 | |
dc.language.iso | en_US | en_US |
dc.rights | Attribution-NonCommercial 4.0 International | * |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0 | * |
dc.subject | altmetrics | en_US |
dc.subject | preprints | en_US |
dc.subject | GIS | en_US |
dc.subject | Python | en_US |
dc.subject | data visualization | en_US |
dc.title | Visualizing Tweet Activity for NIH Covid-19 Preprints | en_US |
dc.type | Poster | en_US |
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