Evidence map›Paper›PMID 37685202›Full record

ArticleFoods (Basel, Switzerland)2023

Comparison of Lipids and Volatile Compounds in Dezhou Donkey Meat with High and Low Intramuscular Fat Content.

Qingshan Ma, Xiyan Kou, Youyou Yang, Yunshuang Yue, Weihai Xing, Xiaohui Feng, Guiqin Liu, Changfa Wang, Yan Li

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Application of Omics in Donkey Meat Research: A Review.Animals : an open access journal from MDPI · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
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

9 authors at 3 institutions in 1 country.

Qingshan MaSchool of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China.
Xiyan KouSchool of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China.
Youyou YangState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Yunshuang YueCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Weihai XingState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Xiaohui FengState Key Laboratory of Animal Nutrition and Feeding, Institute of Animal Sciences of Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Guiqin LiuSchool of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China.
Changfa WangSchool of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China.ORCID 0000-0002-5186-1703
Yan LiSchool of Agricultural Science and Engineering, Liaocheng University, Liaocheng 252000, China.
Liaocheng University · CNChinese Academy of Agricultural Sciences · CNChina Agricultural University · CN

Funding

National Natural Science Foundation of China 32102564
6 · The paper itself

Abstract

The intramuscular fat (IMF) content is considered an important factor for assessing meat quality, and is highly related to meat flavor. However, in donkey meat, the influences of IMF content on lipid and volatile profiles remain unclear. Thus, we conducted lipidomic and volatilomic investigations on high- and low-IMF samples from donkey

Indexed as

comparisondonkeyintramuscular fatlipidsvolatile compounds

Identifiers

PMID37685202
PMCPMC10486446
OpenAlexW4386332998

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.