ArticleConservation biology : the journal of the Society for Conservation Biology2025
Role of low-impact-factor journals in conservation implementation.
Article in Conservation biology : the journal of the Society for Conservation Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Evolution of research on global amphibian declines.Conservation biology : the journal of the Society for Conservation Biology · 2026Review
- Upscaling effects on infectious disease emergence risk emphasize the need for local planning in primary prevention within biodiversity hotspots.Scientific reports · 2025Article
- Language barriers in conservation science citation networks.Conservation biology : the journal of the Society for Conservation Biology · 2025Article
- Role of low-impact-factor journals in conservation implementation.Conservation biology : the journal of the Society for Conservation Biology · 2025Article
- A user's guide for understanding reptile and amphibian hydroregulation and climate change impacts.Conservation physiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Academic review, promotion, and tenure processes place a premium on frequent publication in high-impact factor (IF) journals. However, conservation often relies on species-specific information that is unlikely to have the broad appeal needed for high-IF journals. Instead, this information is often distributed in low-IF, taxa- and region-specific journals. This suggests a potential mismatch between the incentives for academic researchers and the scientific needs of conservation implementation. To explore this mismatch, we looked at federal implementation of the United States Endangered Species Act (ESA), which requires the use of the "best available science" to list a species as endangered or threatened and thus receive powerful legal protections. In assessing the relationship between academic sources of this "best available science" and ESA implementation, we looked at the 13,292 sources (e.g., academic journals, books, reports, regulations, personal communications, etc.) cited by the second Obama administration (2012-2016) across all ESA listings. We compared the IFs of all 785 journals that published peer-reviewed papers cited in these listings against their citation frequency in ESA listings to determine whether a journal's IF varied in proportion with its contribution to federal conservation. Most of the peer-reviewed academic articles referenced in ESA listings came from low-IF or no-IF journals that tended to focus on specific taxa or regions. Although we support continued attention to cutting-edge, multidisciplinary science for its ability to chart new pathways and paradigms, our findings stress the need to value and fund the taxa- and region-specific science that underpins actionable conservation laws.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.