Evidence map›Paper›PMID 37093929›Full record

ArticleJournal of animal science and technology2023

The potential of non-movement behavior observation method for detection of sick broiler chickens.

Hyunsoo Kim, Woo-Do Lee, Hyung-Kwan Jang, Min Kang, Hwan-Ku Kang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of animal science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. The Posture Detection Method of Caged Chickens Based on Computer Vision.Animals : an open access journal from MDPI · 2024
    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

5 authors at 3 institutions in 1 country.

Hyunsoo KimPoultry Research Institute, National Institute of Animal Science, Rural Development Administration, Pyeongchang 25342, Korea.ORCID https://orcid.org/0000-0001-8887-1318
Woo-Do LeePoultry Research Institute, National Institute of Animal Science, Rural Development Administration, Pyeongchang 25342, Korea.ORCID https://orcid.org/0000-0003-4861-4637
Hyung-Kwan JangDepartment of Veterinary Infectious Diseases and Avian Diseases, College of Veterinary Medicine and Center for Poultry Disease Control, Jeonbuk National University, Iksan 54596, Korea.ORCID https://orcid.org/0000-0003-3542-3620
Min KangDepartment of Veterinary Infectious Diseases and Avian Diseases, College of Veterinary Medicine and Center for Poultry Disease Control, Jeonbuk National University, Iksan 54596, Korea.ORCID https://orcid.org/0000-0001-5650-1144
Hwan-Ku KangPoultry Research Institute, National Institute of Animal Science, Rural Development Administration, Pyeongchang 25342, Korea.ORCID https://orcid.org/0000-0002-4286-3141
Jeonbuk National University · KRNational Institute of Animal Science · KRRural Development Administration · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The poultry industry, which produces excellent sources of protein, suffers enormous economic damage from diseases. To solve this problem, research is being conducted on the early detection of infection according to the behavioral characteristics of poultry. The purpose of this study was to evaluate the potential of a non-movement behavior observation method to detect sick chickens. Forty 1-day-old Ross 308 males were used in the experiments, and an isolator equipped with an Internet Protocol (IP) camera was fabricated for observation. The chickens were inoculated with

Indexed as

BroilerDiseaseManagement systemNon-movement behaviorObservation

Identifiers

PMID37093929
PMCPMC10119458
OpenAlexW4312090008

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.