Rxivist.org: Sorting biology preprints using social media and readership metrics.
Preprints have arrived. In increasing numbers, researchers across the life sciences are embracing the once-niche practice, shaking off decades of reluctance and posting hundreds of papers per week to preprint servers, sharing their findings with the community before embarking on the weary march thro...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2019-05-01
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| Series: | PLoS Biology |
| Online Access: | https://doi.org/10.1371/journal.pbio.3000269 |
| _version_ | 1818918829026181120 |
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| author | Richard J Abdill Ran Blekhman |
| author_facet | Richard J Abdill Ran Blekhman |
| author_sort | Richard J Abdill |
| collection | DOAJ |
| description | Preprints have arrived. In increasing numbers, researchers across the life sciences are embracing the once-niche practice, shaking off decades of reluctance and posting hundreds of papers per week to preprint servers, sharing their findings with the community before embarking on the weary march through peer review. However, there are limited methods for individuals sifting through this avalanche of research to identify the preprints that are most relevant to their interests. Here, we describe Rxivist.org, a website that indexes all preprints posted to bioRxiv.org, the largest preprint server in the life sciences, and allows users to filter and sort papers based on download metrics and Twitter activity over a variety of categories and time periods. In this work, we hope to make it easier for readers to find relevant research on bioRxiv and to improve the visibility of preprints currently being read and discussed online. |
| first_indexed | 2024-12-20T00:56:10Z |
| format | Article |
| id | doaj.art-0ab0bbeb639c41f49dd6d2334b2f4214 |
| institution | Directory Open Access Journal |
| issn | 1544-9173 1545-7885 |
| language | English |
| last_indexed | 2024-12-20T00:56:10Z |
| publishDate | 2019-05-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Biology |
| spelling | doaj.art-0ab0bbeb639c41f49dd6d2334b2f42142022-12-21T19:59:06ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852019-05-01175e300026910.1371/journal.pbio.3000269Rxivist.org: Sorting biology preprints using social media and readership metrics.Richard J AbdillRan BlekhmanPreprints have arrived. In increasing numbers, researchers across the life sciences are embracing the once-niche practice, shaking off decades of reluctance and posting hundreds of papers per week to preprint servers, sharing their findings with the community before embarking on the weary march through peer review. However, there are limited methods for individuals sifting through this avalanche of research to identify the preprints that are most relevant to their interests. Here, we describe Rxivist.org, a website that indexes all preprints posted to bioRxiv.org, the largest preprint server in the life sciences, and allows users to filter and sort papers based on download metrics and Twitter activity over a variety of categories and time periods. In this work, we hope to make it easier for readers to find relevant research on bioRxiv and to improve the visibility of preprints currently being read and discussed online.https://doi.org/10.1371/journal.pbio.3000269 |
| spellingShingle | Richard J Abdill Ran Blekhman Rxivist.org: Sorting biology preprints using social media and readership metrics. PLoS Biology |
| title | Rxivist.org: Sorting biology preprints using social media and readership metrics. |
| title_full | Rxivist.org: Sorting biology preprints using social media and readership metrics. |
| title_fullStr | Rxivist.org: Sorting biology preprints using social media and readership metrics. |
| title_full_unstemmed | Rxivist.org: Sorting biology preprints using social media and readership metrics. |
| title_short | Rxivist.org: Sorting biology preprints using social media and readership metrics. |
| title_sort | rxivist org sorting biology preprints using social media and readership metrics |
| url | https://doi.org/10.1371/journal.pbio.3000269 |
| work_keys_str_mv | AT richardjabdill rxivistorgsortingbiologypreprintsusingsocialmediaandreadershipmetrics AT ranblekhman rxivistorgsortingbiologypreprintsusingsocialmediaandreadershipmetrics |