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Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles
Referencing scholarly documents as information sources on Wikipedia is important because it supports or improves the quality of Wikipedia content. Several studies have been conducted regarding scholarly references on Wikipedia; however, little is known of the editors and their edits contributing to...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921307/ https://www.ncbi.nlm.nih.gov/pubmed/35288593 http://dx.doi.org/10.1038/s41597-022-01190-z |
_version_ | 1784669308737028096 |
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author | Kikkawa, Jiro Takaku, Masao Yoshikane, Fuyuki |
author_facet | Kikkawa, Jiro Takaku, Masao Yoshikane, Fuyuki |
author_sort | Kikkawa, Jiro |
collection | PubMed |
description | Referencing scholarly documents as information sources on Wikipedia is important because it supports or improves the quality of Wikipedia content. Several studies have been conducted regarding scholarly references on Wikipedia; however, little is known of the editors and their edits contributing to add the scholarly references on Wikipedia. In this study, we develop a methodology to detect the oldest scholarly reference added to Wikipedia articles by which a certain paper is uniquely identifiable as the “first appearance of the scholarly reference.” We identified the first appearances of 923,894 scholarly references (611,119 unique DOIs) in 180,795 unique pages on English Wikipedia as of March 1, 2017 and stored them in the dataset. Moreover, we assessed the precision of the dataset, which was highly precise regardless of the research field. Finally, we demonstrate the potential of our dataset. This dataset is unique and attracts those who are interested in how the scholarly references on Wikipedia grew and which editors added them. |
format | Online Article Text |
id | pubmed-8921307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89213072022-03-30 Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles Kikkawa, Jiro Takaku, Masao Yoshikane, Fuyuki Sci Data Data Descriptor Referencing scholarly documents as information sources on Wikipedia is important because it supports or improves the quality of Wikipedia content. Several studies have been conducted regarding scholarly references on Wikipedia; however, little is known of the editors and their edits contributing to add the scholarly references on Wikipedia. In this study, we develop a methodology to detect the oldest scholarly reference added to Wikipedia articles by which a certain paper is uniquely identifiable as the “first appearance of the scholarly reference.” We identified the first appearances of 923,894 scholarly references (611,119 unique DOIs) in 180,795 unique pages on English Wikipedia as of March 1, 2017 and stored them in the dataset. Moreover, we assessed the precision of the dataset, which was highly precise regardless of the research field. Finally, we demonstrate the potential of our dataset. This dataset is unique and attracts those who are interested in how the scholarly references on Wikipedia grew and which editors added them. Nature Publishing Group UK 2022-03-14 /pmc/articles/PMC8921307/ /pubmed/35288593 http://dx.doi.org/10.1038/s41597-022-01190-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Kikkawa, Jiro Takaku, Masao Yoshikane, Fuyuki Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles |
title | Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles |
title_full | Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles |
title_fullStr | Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles |
title_full_unstemmed | Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles |
title_short | Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles |
title_sort | dataset of first appearances of the scholarly bibliographic references on wikipedia articles |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921307/ https://www.ncbi.nlm.nih.gov/pubmed/35288593 http://dx.doi.org/10.1038/s41597-022-01190-z |
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