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

Cheung, N. A.; Giustini, D.; LeDue, J.; Murphy, T. H.

doi:10.1101/2021.12.23.473883

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bioRxiv · 10.1101/2021.12.23.473883

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

Cheung, N. A.·Giustini, D.·LeDue, J.·Murphy, T. H.

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Abstract

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 groups impact. SMS is a scalable, open and publicly-accessible solution for automating the retrieval of citation data over time for a group of researchers.

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Cheung, N. A., Giustini, D., LeDue, J., Murphy, T. H.. 2021-12-25. Scholar Metrics Scraper (SMS): automated retrieval of citation and author data. https://doi.org/10.1101/2021.12.23.473883

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