PT  - JOURNAL ARTICLE
AU  - Cheung, Nicole A.
AU  - Giustini, Dean
AU  - LeDue, Jeffrey
AU  - Murphy, Tim H.
TI  - Scholar Metrics Scraper (SMS): automated retrieval of citation and author data
AID  - 10.1101/2021.12.23.473883
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.12.23.473883
4099  - http://biorxiv.org/content/early/2021/12/25/2021.12.23.473883.short
4100  - http://biorxiv.org/content/early/2021/12/25/2021.12.23.473883.full
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.