RT Journal Article
SR Electronic
T1 Scholar Metrics Scraper (SMS): automated retrieval of citation and author data
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.12.23.473883
DO 10.1101/2021.12.23.473883
A1 Cheung, Nicole A.
A1 Giustini, Dean
A1 LeDue, Jeffrey
A1 Murphy, Tim H.
YR 2021
UL http://biorxiv.org/content/early/2021/12/25/2021.12.23.473883.abstract
AB Academic departments, research clusters and evaluators analyze author and citation data to measure research impact and to support strategic planning. We created a tool, Scholar Metrics Scraper (SMS), to automate the retrieval of this bibliometric data for our research team. The project contains Jupyter notebooks (publicly-shared here) that take a list of researchers as an input to export a CSV file of citation metrics from Google Scholar and figures to visualize the group’s impact. SMS is a scalable, open and publicly-accessible solution for automating the retrieval of citation data over time for a group of researchers.Competing Interest StatementThe authors have declared no competing interest.