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The General Growth Tendency: A tool to improve publication trend reporting by removing record inflation bias and enabling quantitative trend analysis
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122180/ https://www.ncbi.nlm.nih.gov/pubmed/35594252 http://dx.doi.org/10.1371/journal.pone.0268433 |
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author | Nelis, Joost L. D. Rosas da Silva, Gonçalo Ortuño, Jordi Tsagkaris, Aristeidis S. Borremans, Benny Haslova, Jana Colgrave, Michelle L. Elliott, Christopher T. |
author_facet | Nelis, Joost L. D. Rosas da Silva, Gonçalo Ortuño, Jordi Tsagkaris, Aristeidis S. Borremans, Benny Haslova, Jana Colgrave, Michelle L. Elliott, Christopher T. |
author_sort | Nelis, Joost L. D. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9122180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-91221802022-05-21 The General Growth Tendency: A tool to improve publication trend reporting by removing record inflation bias and enabling quantitative trend analysis Nelis, Joost L. D. Rosas da Silva, Gonçalo Ortuño, Jordi Tsagkaris, Aristeidis S. Borremans, Benny Haslova, Jana Colgrave, Michelle L. Elliott, Christopher T. PLoS One Research Article 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. Public Library of Science 2022-05-20 /pmc/articles/PMC9122180/ /pubmed/35594252 http://dx.doi.org/10.1371/journal.pone.0268433 Text en © 2022 Nelis et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Nelis, Joost L. D. Rosas da Silva, Gonçalo Ortuño, Jordi Tsagkaris, Aristeidis S. Borremans, Benny Haslova, Jana Colgrave, Michelle L. Elliott, Christopher T. The General Growth Tendency: A tool to improve publication trend reporting by removing record inflation bias and enabling quantitative trend analysis |
title | The General Growth Tendency: A tool to improve publication trend reporting by removing record inflation bias and enabling quantitative trend analysis |
title_full | The General Growth Tendency: A tool to improve publication trend reporting by removing record inflation bias and enabling quantitative trend analysis |
title_fullStr | The General Growth Tendency: A tool to improve publication trend reporting by removing record inflation bias and enabling quantitative trend analysis |
title_full_unstemmed | The General Growth Tendency: A tool to improve publication trend reporting by removing record inflation bias and enabling quantitative trend analysis |
title_short | The General Growth Tendency: A tool to improve publication trend reporting by removing record inflation bias and enabling quantitative trend analysis |
title_sort | general growth tendency: a tool to improve publication trend reporting by removing record inflation bias and enabling quantitative trend analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122180/ https://www.ncbi.nlm.nih.gov/pubmed/35594252 http://dx.doi.org/10.1371/journal.pone.0268433 |
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