Draft:Scientometrics.org
| Scientometrics.org | |
|---|---|
| Developers | Balázs Győrffy, Boglárka Weltz, István Szabó, et al. |
| Release | 2019 |
| Written in | R (Shiny) |
| Type | Scientometrics, Bioinformatics |
| License | Free to use |
| Website | scientometrics |
Scientometrics.org is a scientific bioinformatics and scientometrics platform established in 2019. It provides an objective, age-normalized framework for evaluating researcher performance. The platform was developed to address structural biases in traditional metrics, such as the h-index, which inherently favor established researchers and fail to account for disciplinary differences or career stages.[1]
Methodology
The platform operates by processing publication and citation data from the Scopus (Elsevier) database. To ensure statistical validity, the developers established a global reference dataset comprising 507,233 researchers across all major scientific disciplines.[1] The system employs a dynamic percentile-based approach, comparing an individual's metrics against a peer group at the same "academic age" (years elapsed since their first publication).[2]
Key Indicators
Scientometrics.org calculates metrics for each percentile in every scientific discipline:
- H-index: Adjusted for career duration to reflect long-term impact.[3]
- Annual Citations: Independent citations received in the last completed calendar year, reflecting current scientific relevance.[1]
- Recent Publications: The number of high-quality (Q1) publications within the past five years, assessing productivity shifts including pre- and post-PhD performance.[4]
Scientific Context
The platform addresses the "Publish or perish" culture and the ethical challenges of using quantitative metrics in high-stakes academic decisions, such as grant evaluations and faculty promotions.[5] By providing field-specific benchmarks, it aims to reduce gender and age-related disparities in research assessment.[6]
Founders
The research group responsible for the platform's development includes: Balázs Győrffy, Gyöngyi Csuka, Péter Herman, Gyöngyi Munkácsy, Andrea Magda Nagy, István Szabó, Ádám Török, Péter Szluka, and Boglárka Weltz.
References
- ^ a b c Győrffy, B.; Weltz, B.; Szabó, I. (2026). "A global interdisciplinary platform for academic age-normalized researcher evaluation". Scientometrics. Springer. doi:10.1007/s11192-026-05608-y.
- ^ Szluka, P. (2023). University ranking systems and bibliometric indicators.
- ^ Török, Á. (2021). "Quantitative metrics in academic promotion".
{{cite journal}}: Cite journal requires|journal=(help) - ^ Munkácsy, G. (2022). "Publication output before and after obtaining the PhD".
{{cite journal}}: Cite journal requires|journal=(help) - ^ Tóth, T.; Demeter, M. (2024). "Equity and inequality in grant evaluation". Journal of Informetrics. doi:10.1016/j.joi.2024.101516.
- ^ Texas A&M University (1993). Scaling characteristics of percentile ranks in high-stakes decisions (Report). ED363637.
Category:Bioinformatics software
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