COVIDScholar: An automated COVID-19 research aggregation and analysis platform
The ongoing COVID-19 pandemic produced far-reaching effects throughout society, and science is no exception. The scale, speed, and breadth of the scientific community’s COVID-19 response lead to the emergence of new research at the remarkable rate of more than 250 papers published per day. This pose...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891495/?tool=EBI |
| _version_ | 1828041957436293120 |
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| author | John Dagdelen Amalie Trewartha Haoyan Huo Yuxing Fei Tanjin He Kevin Cruse Zheren Wang Akshay Subramanian Benjamin Justus Gerbrand Ceder Kristin A. Persson |
| author_facet | John Dagdelen Amalie Trewartha Haoyan Huo Yuxing Fei Tanjin He Kevin Cruse Zheren Wang Akshay Subramanian Benjamin Justus Gerbrand Ceder Kristin A. Persson |
| author_sort | John Dagdelen |
| collection | DOAJ |
| description | The ongoing COVID-19 pandemic produced far-reaching effects throughout society, and science is no exception. The scale, speed, and breadth of the scientific community’s COVID-19 response lead to the emergence of new research at the remarkable rate of more than 250 papers published per day. This posed a challenge for the scientific community as traditional methods of engagement with the literature were strained by the volume of new research being produced. Meanwhile, the urgency of response lead to an increasingly prominent role for preprint servers and a diffusion of relevant research through many channels simultaneously. These factors created a need for new tools to change the way scientific literature is organized and found by researchers. With this challenge in mind, we present an overview of COVIDScholar https://covidscholar.org, an automated knowledge portal which utilizes natural language processing (NLP) that was built to meet these urgent needs. The search interface for this corpus of more than 260,000 research articles, patents, and clinical trials served more than 33,000 users at an average of 2,000 monthly active users and a peak of more than 8,600 weekly active users in the summer of 2020. Additionally, we include an analysis of trends in COVID-19 research over the course of the pandemic with a particular focus on the first 10 months, which represents a unique period of rapid worldwide shift in scientific attention. |
| first_indexed | 2024-04-10T17:23:52Z |
| format | Article |
| id | doaj.art-8a41f2b83fb8449e8a454601b87a9714 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-10T17:23:52Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-8a41f2b83fb8449e8a454601b87a97142023-02-05T05:31:00ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01182COVIDScholar: An automated COVID-19 research aggregation and analysis platformJohn DagdelenAmalie TrewarthaHaoyan HuoYuxing FeiTanjin HeKevin CruseZheren WangAkshay SubramanianBenjamin JustusGerbrand CederKristin A. PerssonThe ongoing COVID-19 pandemic produced far-reaching effects throughout society, and science is no exception. The scale, speed, and breadth of the scientific community’s COVID-19 response lead to the emergence of new research at the remarkable rate of more than 250 papers published per day. This posed a challenge for the scientific community as traditional methods of engagement with the literature were strained by the volume of new research being produced. Meanwhile, the urgency of response lead to an increasingly prominent role for preprint servers and a diffusion of relevant research through many channels simultaneously. These factors created a need for new tools to change the way scientific literature is organized and found by researchers. With this challenge in mind, we present an overview of COVIDScholar https://covidscholar.org, an automated knowledge portal which utilizes natural language processing (NLP) that was built to meet these urgent needs. The search interface for this corpus of more than 260,000 research articles, patents, and clinical trials served more than 33,000 users at an average of 2,000 monthly active users and a peak of more than 8,600 weekly active users in the summer of 2020. Additionally, we include an analysis of trends in COVID-19 research over the course of the pandemic with a particular focus on the first 10 months, which represents a unique period of rapid worldwide shift in scientific attention.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891495/?tool=EBI |
| spellingShingle | John Dagdelen Amalie Trewartha Haoyan Huo Yuxing Fei Tanjin He Kevin Cruse Zheren Wang Akshay Subramanian Benjamin Justus Gerbrand Ceder Kristin A. Persson COVIDScholar: An automated COVID-19 research aggregation and analysis platform PLoS ONE |
| title | COVIDScholar: An automated COVID-19 research aggregation and analysis platform |
| title_full | COVIDScholar: An automated COVID-19 research aggregation and analysis platform |
| title_fullStr | COVIDScholar: An automated COVID-19 research aggregation and analysis platform |
| title_full_unstemmed | COVIDScholar: An automated COVID-19 research aggregation and analysis platform |
| title_short | COVIDScholar: An automated COVID-19 research aggregation and analysis platform |
| title_sort | covidscholar an automated covid 19 research aggregation and analysis platform |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891495/?tool=EBI |
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