Evidence map›Paper›PMID 38023419›Full record

ArticleTranslational animal science2023

Image analysis to automatically classify anemia based on Famacha score in sheep using ocular conjunctiva images.

Luara A Freitas, Rafael E P Ferreira, Rodrigo P Savegnago, João R R Dórea, Nedenia B Stafuzza, Guilherme J M Rosa, Claudia C P Paz

Open access · goldAbstract read
In one paragraph

Article in Translational animal science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Machine learning prediction of multiple anthelmintic resistance and gastrointestinal nematode control in sheep flocks.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2024
    Article
  4. Article
4 · The record

Corrections and comments

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

7 authors at 3 institutions in 2 countries.

Luara A FreitasDepartment of Genetics, University of Sao Paulo, São Paulo, 14049-900, Brazil.ORCID https://orcid.org/0000-0002-7454-9325
Rafael E P FerreiraDepartment of Animal and Dairy Sciences, University of Wisconsin, Wisconsin, MI 53706, USA.
Rodrigo P SavegnagoDepartment of Animal Science, Michigan State University, East Lansing, MI 48864, USA.
João R R DóreaDepartment of Animal and Dairy Sciences, University of Wisconsin, Wisconsin, MI 53706, USA.ORCID https://orcid.org/0000-0001-9849-7358
Nedenia B StafuzzaSustainable Livestock Research Center, Animal Science Institute, São Paulo, 15130-000, Brazil.
Guilherme J M RosaDepartment of Animal and Dairy Sciences, University of Wisconsin, Wisconsin, MI 53706, USA.ORCID https://orcid.org/0000-0001-9172-6461
Claudia C P PazSustainable Livestock Research Center, Animal Science Institute, São Paulo, 15130-000, Brazil.ORCID https://orcid.org/0000-0002-7267-4552
University of Wisconsin–Madison · USMichigan State University · USUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

gastrointestinal nematodesmachine learningovis ariesrandom forest

Identifiers

PMID38023419
PMCPMC10630325
OpenAlexW4387730433

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.