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COVID-19 Scholarly Production Dataset
- data.mendeley.com
Updated Jul 7, 2020
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EmailClick to copy linkLink copiedCiteGisliany Alves (2020). COVID-19 Scholarly Production Dataset [Dataset]. http://doi.org/10.17632/kx7wwc8dzp.5Unique identifierhttps://doi.org/10.17632/kx7wwc8dzp.5Dataset updatedJul 7, 2020AuthorsGisliany AlvesLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionCOVID-2019 has been recognized as a global threat, and several studies are being conducted in order to contribute to the fight and prevention of this pandemic. This work presents a scholarly production dataset focused on COVID-19, providing an overview of scientific research activities, making it possible to identify countries, scientists and research groups most active in this task force to combat the coronavirus disease. The dataset is composed of 40,212 records of articles' metadata collected from Scopus, PubMed, arXiv and bioRxiv databases from January 2019 to July 2020. Those data were extracted by using the techniques of Python Web Scraping and preprocessed with Pandas Data Wrangling.
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COVID-19 Scholarly Production Dataset
- data.mendeley.com
Updated Jul 6, 2020ShareFacebookTwitterEmailClick to copy linkLink copiedCiteBreno Santana Santos (2020). COVID-19 Scholarly Production Dataset [Dataset]. http://doi.org/10.17632/kx7wwc8dzp.1Unique identifierhttps://doi.org/10.17632/kx7wwc8dzp.1Dataset updatedJul 6, 2020AuthorsBreno Santana SantosLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionCOVID-2019 has been recognized as a global threat, and several studies are being conducted in order to contribute to the fight and prevention of this pandemic. This work presents a scholarly production dataset focused on COVID-19, providing an overview of scientific research activities, making it possible to identify countries, scientists and research groups most active in this task force to combat the coronavirus disease. The dataset is composed of 40,215 records of articles' metadata collected from Scopus, PubMed, arXiv and bioRxiv databases from January 2019 to July 2020. Those data were extracted by using the techniques of Python Web Scraping and preprocessed with Pandas Data Wrangling.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
COVID-2019 has been recognized as a global threat, and several studies are being conducted in order to contribute to the fight and prevention of this pandemic. This work presents a scholarly production dataset focused on COVID-19, providing an overview of scientific research activities, making it possible to identify countries, scientists and research groups most active in this task force to combat the coronavirus disease. The dataset is composed of 40,212 records of articles' metadata collected from Scopus, PubMed, arXiv and bioRxiv databases from January 2019 to July 2020. Those data were extracted by using the techniques of Python Web Scraping and preprocessed with Pandas Data Wrangling.