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CiteTracked: A Longitudinal Dataset of Peer Reviews and Citations

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
 Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 116-122

Publication milestones

  • Published - 25/07/2019

Publication status

Published - 25/07/2019

Edition

urn:nbn:de:0074-2414-3

Volume

Vol-2414

Publisher

CEUR Workshop Proceedings

Book series

  • Book series name: CEUR Workshop Proceedings
    Volume: 2414
    ISSN: 1613-0073

Host publication title

4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019)

Host publication editors

  • Muthu Kumar Chandrasekaran
  • Philipp Mayr

Abstract

Scientific dissemination is of central importance for the scientific process. This paper presents CiteTracked, a dataset of peer reviews and citation statistics covering scientific papers from the machine learning community and spanning six years. We describe and analyze the data collection of over 3,000 published papers, their peer review texts and citation counts, and depict possible usage directions. The dataset aims at fertilizing novel interdisciplinary work between fields such as scientometrics, information retrieval, computational linguistics and natural language processing to study the scientific publishing process.

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