Estimating scientific coherence using population-level indicators and research production data: a longitudinal analytical proof-of-concept study.
- DOI
- 10.3389/frma.2026.1817595
- Published
- 2026
- Container
- Frontiers in research metrics and analytics
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/frma.2026.1817595,
title = {Estimating scientific coherence using population-level indicators and research production data: a longitudinal analytical proof-of-concept study.},
author = {Hernandez-Paez DA and Visconti-Lopez FJ and Lozada-Martınez ID},
year = {2026},
journal = {Frontiers in research metrics and analytics},
doi = {10.3389/frma.2026.1817595},
url = {https://doi.org/10.3389/frma.2026.1817595}
}RIS
TY - JOUR TI - Estimating scientific coherence using population-level indicators and research production data: a longitudinal analytical proof-of-concept study. AU - Hernandez-Paez DA AU - Visconti-Lopez FJ AU - Lozada-Martınez ID PY - 2026 JO - Frontiers in research metrics and analytics DO - 10.3389/frma.2026.1817595 UR - https://doi.org/10.3389/frma.2026.1817595 ER -
APA
DA, H., FJ, V., & ID, L. (2026). Estimating scientific coherence using population-level indicators and research production data: a longitudinal analytical proof-of-concept study.. Frontiers in research metrics and analytics. https://doi.org/10.3389/frma.2026.1817595
Source records
- pubmed · retrieved 2026-09-27T10:44:43.688Z