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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...

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Autores principales: Dagdelen, John, Trewartha, Amalie, Huo, Haoyan, Fei, Yuxing, He, Tanjin, Cruse, Kevin, Wang, Zheren, Subramanian, Akshay, Justus, Benjamin, Ceder, Gerbrand, Persson, Kristin A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891495/
https://www.ncbi.nlm.nih.gov/pubmed/36724184
http://dx.doi.org/10.1371/journal.pone.0281147
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author Dagdelen, John
Trewartha, Amalie
Huo, Haoyan
Fei, Yuxing
He, Tanjin
Cruse, Kevin
Wang, Zheren
Subramanian, Akshay
Justus, Benjamin
Ceder, Gerbrand
Persson, Kristin A.
author_facet Dagdelen, John
Trewartha, Amalie
Huo, Haoyan
Fei, Yuxing
He, Tanjin
Cruse, Kevin
Wang, Zheren
Subramanian, Akshay
Justus, Benjamin
Ceder, Gerbrand
Persson, Kristin A.
author_sort Dagdelen, John
collection PubMed
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.
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spelling pubmed-98914952023-02-02 COVIDScholar: An automated COVID-19 research aggregation and analysis platform Dagdelen, John Trewartha, Amalie Huo, Haoyan Fei, Yuxing He, Tanjin Cruse, Kevin Wang, Zheren Subramanian, Akshay Justus, Benjamin Ceder, Gerbrand Persson, Kristin A. PLoS One Research Article 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. Public Library of Science 2023-02-01 /pmc/articles/PMC9891495/ /pubmed/36724184 http://dx.doi.org/10.1371/journal.pone.0281147 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Dagdelen, John
Trewartha, Amalie
Huo, Haoyan
Fei, Yuxing
He, Tanjin
Cruse, Kevin
Wang, Zheren
Subramanian, Akshay
Justus, Benjamin
Ceder, Gerbrand
Persson, Kristin A.
COVIDScholar: An automated COVID-19 research aggregation and analysis platform
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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891495/
https://www.ncbi.nlm.nih.gov/pubmed/36724184
http://dx.doi.org/10.1371/journal.pone.0281147
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