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Published on: October 24, 2019
Reasons for Journal Impact Factor Changes: Influence of Changing Source Items.
Tobias Kiesslich1,2, Silke B Weineck3, Dorothea Koelblinger3
1Laboratory for Tumour Biology and Experimental Therapies (TREAT), Institute for Physiology and Pathophysiology, Paracelsus Medical University, Strubergasse 21, 5020, Salzburg, Austria.
Journal Impact Factor (IF) changes can be misleading. This study found some IF increases were invalid, driven by fewer published articles rather than genuine quality improvements.
Area of Science:
- Bibliometrics
- Scholarly Communication
- Journal Evaluation
Background:
- The journal Impact Factor (IF) is a widely used metric for evaluating journal influence.
- Concerns exist regarding the manipulation and validity of IF calculations.
- Previous analyses have not systematically examined the drivers of significant IF fluctuations.
Purpose of the Study:
- To systematically analyze the causes of significant journal Impact Factor changes.
- To classify IF variations as 'valid' or 'invalid' based on their contribution to measuring journal quality.
- To investigate the role of numerator (citations) and denominator (articles) in IF fluctuations.
Main Methods:
- Analysis of a cohort of JCR-listed journals with substantial absolute IF changes (ΔIF ≥ 3.0) between 2013-2014.
- Examination of the relative contributions of changes in article count and citation count to IF variations over five years.
- Development of a classification system for 'valid' and 'invalid' IF change scenarios.
Main Results:
- A significant portion (18%) of observed IF increases were classified as 'invalid'.
- 'Invalid' IF increases were primarily driven by a decrease in the number of published articles (denominator).
- This suggests that IF can be artificially inflated by reducing publication output.
Conclusions:
- Reductions in publication output can lead to misleading increases in journal Impact Factor.
- The current IF metric may not accurately reflect true journal quality when the denominator is manipulated.
- Implementing control mechanisms for article count variations could enhance the expressiveness of the IF metric.
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