Evidence map›Paper›PMID 36673349›Full record

ArticleFoods (Basel, Switzerland)2023

Integrative Analysis of Proteomics and Transcriptomics of

Xiaoming Ma, Xian Guo, Yongfu La, Xiaoyun Wu, Min Chu, Pengjia Bao, Ping Yan, Chunnian Liang

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Xiaoming MaAnimal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Xian GuoAnimal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.ORCID 0000-0003-2390-4777
Yongfu LaAnimal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Xiaoyun WuAnimal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Min ChuAnimal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Pengjia BaoAnimal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.ORCID 0000-0001-7671-1050
Ping YanAnimal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Chunnian LiangAnimal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.
Lanzhou Institute of Husbandry and Pharmaceutical Sciences · CN

Funding

National Beef Cattle Industry Technology and System CARS-37National Natural Science Foundation of China 32102524Natural Science Foundation Gansu province 21JR7RA032Science and Technology Aid Qinghai Cooperation Special 2020-QY-212the Agricultural Science and Technology Innovation Program 25-LZIHPS-01the Gansu Basic Research Innovation Group Program, Research on Innovation of Yak Molecular Breeding Technology 20JR5RA580
6 · The paper itself

Abstract

Yaks (

Indexed as

Longissimus dorsi musclemeat qualityRNA sequencingTMT proteomicsyak

Identifiers

PMID36673349
PMCPMC9858148
OpenAlexW4313646338

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.