Evidence map›Paper›PMID 32784655›Full record

ArticleAnimals : an open access journal from MDPI2020

Effect of Expressions and SNPs of Candidate Genes on Intramuscular Fat Content in Qinchuan Cattle.

Yaxing Li, Gong Cheng, Takahisa Yamada, Jianfeng Liu, Linsen Zan, Bin Tong

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

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  7. Effects of theAnimals : an open access journal from MDPI · 2023
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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

6 authors at 4 institutions in 2 countries.

Yaxing LiThe State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot 010070, China.
Gong ChengNational Beef Cattle Improvement Center, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Takahisa YamadaDepartment of Agrobiology, Faculty of Agriculture, Niigata University, Niigata 950-2181, Japan.
Jianfeng LiuKey Laboratory of Animal Genetics, Breeding, and Reproduction, Ministry of Agriculture, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Linsen ZanNational Beef Cattle Improvement Center, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Bin TongThe State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot 010070, China.ORCID 0000-0003-4170-8737
Inner Mongolia University · CNNational Beef Cattle Industrial Technology System · CNChina Agricultural University · CNNiigata University · JP

Funding

National Key R&D Program of China 2018YFD0501700the "Grassland Meritocrat" Scholars Program of Inner Mongolia Autonomous Region of China CYYC6068the High Level Overseas Talents Project from Ministry of Human Resources and Social Security of China [2018]No.190the High-level Talents Import Program of Inner Mongolia University of China No. 21400-5165112the Inner Mongolia Science & Technology Plan of China No. 20180260
6 · The paper itself

Abstract

Marbling is characterized by the amount and distribution of intramuscular fat (IMF). The

Indexed as

associationcandidate genesexpressionintramuscular fat contentsingle nucleotide polymorphism

Identifiers

PMID32784655
PMCPMC7459438
OpenAlexW3047802591

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.