Evidence map›Paper›PMID 39128913›Full record

ArticleScientific reports2024

Herbal extract dietary supplementation effect on growth performance and meat quality in broiler raised under two stocking densities.

Mohammad D Obeidat, Muhy Eddin M Alkhateeb, Khaleel I Jawasreh, David G Riley, Ibrahim A Al Sukhni

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. DietaryVeterinary world · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. 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.

Mohammad D ObeidatDepartment of Animal Production, Faculty of Agriculture, Jordan University of Science and Technology (JUST), Irbid, 22110, Jordan. mdobeidat@just.edu.jo.
Muhy Eddin M AlkhateebDepartment of Animal Production, Faculty of Agriculture, Jordan University of Science and Technology (JUST), Irbid, 22110, Jordan.
Khaleel I JawasrehDepartment of Animal Production, Faculty of Agriculture, Jordan University of Science and Technology (JUST), Irbid, 22110, Jordan.
David G RileyTexas A&M University, College Station, USA.
Ibrahim A Al SukhniDepartment of Animal Production, Faculty of Agriculture, Jordan University of Science and Technology (JUST), Irbid, 22110, Jordan.

Funding

Deanship of Research, Jordan University of Science and Technology 592/2022
6 · The paper itself

Abstract

The number of birds or their total live weight in relation to a given area is known as stocking density; higher stocking densities will cause more stress to the birds, which may have an impact on their physiological state, productivity, carcass quality, growth performance, immunity, metabolism, and meat quality. The present study aimed to investigate the potential impact of 2 different stocking densities on growth performance, carcass characteristics, meat quality, serum, and expression of Insulin like growth factor-1 (IGF-1), muscle regulatory genes expression and serum biochemical indicators of broilers supplemented with essential oils (EO). In total, 784-day-old chicks of Ross 308 were randomly assigned into 4 different groups with 7 replicates for each: Normal feed (no essential oils [EO] added) and normal stocking as 9 bird/m

Indexed as

Animal FeedChickensDietary SupplementsInsulin-Like Growth Factor IMeatOils, VolatilePlant ExtractsAnimal Nutritional Physiological PhenomenaAnimalsInsulin-Like Growth Factor IOils, VolatilePlant ExtractsEssential oilGene expressionStocking density

Identifiers

PMID39128913
PMCPMC11317506

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.