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Abstract We developed 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) in180,795 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 and it was a high precision regardless of the research field. In this version, it is available not only the dataset of English Wikipedia as of March 1, 2017, but also English Wikipedia as of October 1, 2021, generated by using the same methodology. Data Records The data format of the dataset is JSON lines, where each line is a single record. In this dataset, we detected the first appearance of each scholarly reference added to Wikipedia articles. If there are multiple references corresponding to the same paper on the same page, only the oldest one is collected. Sample of the record is the following. doi -- DOI corresponding to the paper (String), e.g., "10.1006/anbe.1996.0497" paper_type -- Document type of the paper (String), e.g., "journal-article" paper_container_title -- Journal title, book title, or proceedings title (Array of String), e.g., ["Animal Behaviour"] paper_publisher -- Publisher name (String), e.g., "Elsevier BV" paper_title -- Paper title (Array of String), e.g., ["Push or pull: an experimental study on imitation in marmosets"] paper_published_year -- Published year (String), e.g., "1997" paper_issue -- Issue number (String), e.g., "4" paper_volume -- Volume number (String), e.g., "54" paper_page -- Page numbers (String), e.g., "817-831" paper_author -- Authors information consisted of given and family names, sequences (order in author names), and affiliations (Array of JSON), e.g., [{"given":"THOMAS", "family":"BUGNYAR", "sequence":"first", "affiliation":[]}, {"given":"LUDWIG", "family":"HUBER", "sequence":"additional", "affiliation":[]}] issn -- ISSN related to the paper (Array of String), e.g., ["0003-3472"] research_field -- Research fields from ESI categories (Array of String), e.g., ["PLANT & ANIMAL SCIENCE"] page_id -- Page id (String), e.g., "577858" page_title -- Page title (String), e.g., "Imitation" revision_id -- Revision id (String), e.g., "203309031" revision_timestamp -- Revision timestamp (String), e.g., "2008-04-04 15:54:09 UTC" revision_comment -- Revision comment (edit summary) (String), e.g., "/* Animal Behaviour */" editor_name -- Wikipedia editor's name (String), e.g., "Nicemr" editor_type -- Type of the editor (String), e.g., "User" References Kikkawa, J., Takaku, M. & Yoshikane, F. Dataset of first appearances of the scholarly bibliographic references on Wikipedia articles (submitted to Scientific Data as a Deta Descriptor). FUNDING JSPS KAKENHI Grant Number JP20K12543 JSPS KAKENHI Grant Number JP21K21303
DOI, Bibliometrics, Digital Object Identifier, Scientometrics, Wikipedia
DOI, Bibliometrics, Digital Object Identifier, Scientometrics, Wikipedia
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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