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

openacrs's bookmarks 2022-01-06


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.



01/06/2022, 08:58

From feeds:

Open Access Tracking Project (OATP) » openacrs's bookmarks

Tags: oa.metrics oa.floss oa.citations oa.visualizations oa.metadata

Date tagged:

01/06/2022, 13:58

Date published:

12/25/2021, 08:58