ArticlePeerJ2021
Impact of
Article in PeerJ, 2021. 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, 19 citations in OpenAlex.
- Resolving the Evolutionary History of Bighorn Sheep to Inform Future Management: An Answer to the California Bighorn Lineage Question.Evolutionary applications · 2026Article
- Outcomes of Selective Removals for Control of Pneumonia in a Bighorn Sheep Metapopulation.Ecology and evolution · 2025Article
- Fatal interactions: pneumonia in bighorn lambs following experimental exposure to carriers ofJournal of clinical microbiology · 2025Article
- Investigating the immunological activity of the Hsp70-P113 fusion protein for Mycoplasma ovipneumoniae detection: a groundbreaking study.BMC veterinary research · 2024Article
- Natural history of a bighorn sheep pneumonia epizootic: Source of infection, course of disease, and pathogen clearance.Ecology and evolution · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Determining the demographic impacts of wildlife disease is complex because extrinsic and intrinsic drivers of survival, reproduction, body condition, and other factors that may interact with disease vary widely.
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.