Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
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.
2 · The registry
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.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
11 authors.
Siqi WangDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616, USA.
Sharif S AlyDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0003-0330-5013
Essam AbdelfattahDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0002-7267-8406
Pius EkongVeterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California, Davis, Tulare, CA 93274, USA.
David B SheedyVeterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California, Davis, Tulare, CA 93274, USA.ORCID 0000-0001-6671-432X
Wagdy ElAshmawyVeterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California, Davis, Tulare, CA 93274, USA.ORCID 0000-0001-6466-1455
Betsy M KarleCooperative Extension, Division of Agriculture and Natural Resources, University of California, Orland, CA 95963, USA.ORCID 0000-0003-1851-5427
Randi BlackCooperative Extension, Division of Agriculture and Natural Resources, University of California, Santa Rosa, CA 95403, USA.
Deniece R WilliamsVeterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California, Davis, Tulare, CA 93274, USA.ORCID 0000-0002-7534-732X
Pramod PandeyDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616, USA.
Emmanuel OkelloDepartment of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0002-1746-8385
Funding
National Institute of Food and Agriculture CA-V-PHR-4111-H
6 · The paper itself
Abstract
The widespread use of antimicrobial drugs (AMDs) in livestock production contributes to antimicrobial resistance (AMR), a global One Health concern affecting humans, animals, and the environment. This study analyzed AMD residues and the AMR profiles in
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.
Analysis of Antimicrobial Residues and Resistance Profiles of · full record | OpenQuestion