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05:02
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
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How to normalize Twitter counts? A first attempt based on journals in the Twitter Index
Lutz Bornmann1, Robin Haunschild2
1Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, 80539 Munich, Germany.
Scientometrics
|May 31, 2016
Summary
This study introduces normalized Twitter percentiles (TP) to measure research societal impact. These metrics offer a standardized way to compare the influence of academic papers across different fields, with valid applications in science and engineering.
Area of Science:
- Bibliometrics
- Altmetrics
- Scientific Communication
Background:
- Alternative metrics (altmetrics) offer quantitative measures of research societal impact.
- Twitter is a significant source for altmetrics, but raw Twitter counts (TC) require normalization for meaningful comparison.
- Challenges exist in analyzing Twitter data due to a high number of papers with zero or one tweet.
Purpose of the Study:
- To develop and validate a method for normalizing Twitter counts (TC) for cross-field comparisons.
- To introduce normalized Twitter percentiles (TP) as a robust measure of research impact.
- To assess the field-independency of TP compared to TC.
Main Methods:
- Defined the Twitter Index (TI) to include journals with at least 80% of papers having at least one tweet.
- Calculated normalized Twitter percentiles (TP) for papers within TI journals, ranging from 0 to 100.
- Compared the field-independency of TP against raw Twitter counts (TC).
Main Results:
- Normalized Twitter percentiles (TP) demonstrate validity, particularly in biomedical and health sciences, life and earth sciences, mathematics and computer science, and physical sciences and engineering.
- TP proved more field-independent than raw Twitter counts (TC).
- An initial application of TP showed Denmark, Finland, and Norway leading in tweeted papers.
Conclusions:
- Normalized Twitter percentiles (TP) provide a reliable method for quantifying and comparing the societal impact of research across diverse scientific fields.
- TP can be effectively applied to analyze national research influence on social media.
- The study validates TP as a valuable tool in bibliometrics and altmetrics.
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