0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Sign in to save

The General Growth Tendency: A tool to improve publication trend reporting by removing record inflation bias and enabling quantitative trend analysis

PLoS ONE 2022 17 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Aristeidis S. Tsagkaris Joost L.D. Nelis, Joost L.D. Nelis, Gonçalo Rosas da Silva, Aristeidis S. Tsagkaris Gonçalo Rosas da Silva, Jordi Ortuño, Joost L.D. Nelis, Joost L.D. Nelis, Joost L.D. Nelis, Aristeidis S. Tsagkaris Joost L.D. Nelis, Aristeidis S. Tsagkaris Aristeidis S. Tsagkaris Aristeidis S. Tsagkaris Joost L.D. Nelis, Christopher T. Elliott, Aristeidis S. Tsagkaris Christopher T. Elliott, Benny Borremans, Joost L.D. Nelis, Jana Haslova, Christopher T. Elliott, Jana Haslova, Michelle L. Colgrave, Christopher T. Elliott, Christopher T. Elliott, Christopher T. Elliott, Aristeidis S. Tsagkaris Aristeidis S. Tsagkaris Aristeidis S. Tsagkaris

Summary

Researchers developed a novel bibliometric metric called the General Growth Tendency to remove publication record inflation bias from trend analyses, enabling quantitative comparison of research field growth. Applying the tool to life sciences literature, they found that microplastics research showed a genuine inflation-corrected growth of 51% plus or minus 10% between 2012 and 2018, demonstrating that standard publication count trends frequently overstate field-specific growth.

The trend of the number of publications on a research field is often used to quantify research interest and effort, but this measure is biased by general publication record inflation. This study introduces a novel metric as an unbiased and quantitative tool for trend analysis and bibliometrics. The metric was used to reanalyze reported publication trends and perform in-depth trend analyses on patent groups and a broad range of field in the life-sciences. The analyses confirmed that inflation bias frequently results in the incorrect identification of field-specific increased growth. It was shown that the metric enables a more detailed, quantitative and robust trend analysis of peer reviewed publications and patents. Some examples of the metric's uses are quantifying inflation-corrected growth in research regarding microplastics (51% ± 10%) between 2012 and 2018 and detecting inflation-corrected growth increase for transcriptomics and metabolomics compared to genomics and proteomics (Tukey post hoc p<0.0001). The developed trend-analysis tool removes inflation bias from bibliometric trend analyses. The metric improves evidence-driven decision-making regarding research effort investment and funding allocation.

Sign in to start a discussion.

Share this paper