Scholar Metrics Scraper (SMS): automated retrieval of citation and author data

Yutong Cao; Nicole A Cheung; Dean Giustini; Jeffrey LeDue; Timothy H Murphy

doi:10.3389/frma.2024.1335454

Scholar Metrics Scraper (SMS): automated retrieval of citation and author data

Front Res Metr Anal. 2024 Feb 22:9:1335454. doi: 10.3389/frma.2024.1335454. eCollection 2024.

Authors

Yutong Cao^{1

2}, Nicole A Cheung^{1

2}, Dean Giustini³, Jeffrey LeDue^{1

2}, Timothy H Murphy^{1

2}

Affiliations

¹ Department of Psychiatry, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
² Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.
³ Biomedical Branch Library, University of British Columbia, Vancouver, BC, Canada.

Abstract

Academic departments, research clusters and evaluators analyze author and citation data to measure research impact and to support strategic planning. We created Scholar Metrics Scraper (SMS) to automate the retrieval of bibliometric data for a group of researchers. The project contains Jupyter notebooks that take a list of researchers as an input and exports a CSV file of citation metrics from Google Scholar (GS) to visualize the group's impact and collaboration. A series of graph outputs are also available. SMS is an open solution for automating the retrieval and visualization of citation data.

Keywords: Google Scholar; Python; automation; bibliometrics; citation metrics; research impact.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by resources made available through the Dynamic Brain Circuits Research Excellence Cluster and the NeuroImaging and NeuroComputation Center at the UBC Djavad Mowafaghian Center for Brain Health (RRID:SCR_019086) and made use of the DataBinge forum. YC and NC were supported by the Grants for Catalyzing Research Clusters (GCRC) grant GCRC-4042880515. TM was also supported by a Heart and Stroke Foundation of Canada grant in aid, Canadian Institutes of Health Research (CIHR) Foundation Grants FDN-143209 and PJT-180631, and the Natural Sciences and Engineering Research Council of Canada (NSERC) Grant GPIN-2022-03723.