Could early tweet counts predict later citation counts? A gender study in Life Sciences and Biomedicine (2014–2016)
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http://data.d4science.org/ctlg/RISIS2OpenData/dedup_wf_001--6a2e62ad550a7ab6b5fb801dad02f90c |
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Identity
Field | Value |
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PID | https://www.doi.org/10.1371/journal.pone.0241723 |
PID | pmc:PMC7605688 |
PID | pmid:33137147 |
URL | https://doi.org/10.1371/journal.pone.0241723 |
URL | http://europepmc.org/articles/PMC7605688 |
URL | https://doaj.org/toc/1932-6203 |
Access Modality
Field | Value |
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Access Right | Open Access |
Attribution
Field | Value |
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Author | Tahereh Dehdarirad |
Publishing
Field | Value |
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Collected From | PubMed Central; DOAJ-Articles |
Hosted By | Europe PubMed Central; PLoS ONE |
Journal | PLoS ONE, 15, 11 |
Publication Date | 2020-11-01 |
Publisher | Public Library of Science |
Additional Info
Field | Value |
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Language | English |
Resource Type | Article |
keyword | Q |
keyword | R |
system:type | publication |
Management Info
Field | Value |
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Source | https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::6a2e62ad550a7ab6b5fb801dad02f90c |
Author | jsonws_user |
Last Updated | 25 December 2020, 13:15 (CET) |
Created | 25 December 2020, 13:15 (CET) |