Evidence map›Paper›PMID 38495458›Full record

ArticleFood chemistry: X2024

Characterization the microbial diversity and metabolites of four varieties of Dry-Cured ham in western Yunnan of China.

Yu Qin, Wenwen Li, Wenwen Zhang, Beibei Zhang, Dengjie Yao, Chunyin Zeng, Jianxin Cao, Lirong Li, Rui Huang

Open access · goldAbstract read
In one paragraph

Article in Food chemistry: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 11 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

9 authors at 1 institution in 1 country.

Yu QinFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China.
Wenwen LiFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China.
Wenwen ZhangFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China.
Beibei ZhangFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China.
Dengjie YaoFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China.
Chunyin ZengFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China.
Jianxin CaoFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China.
Lirong LiFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province 650500, China.
Rui HuangZhongken Huashan Mu Daity Co., LTD, Weinan, Shaanxi Province 714000, China.
Kunming University of Science and Technology · CN

Funding

Addressing Geriatric Syndromes within Permanent Supportive HousingR21AG050009 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENWOOD, BENJAMIN FOSTER · 2016 to 2017
$463k
NIA NIH HHS R21 AG050009
6 · The paper itself

Abstract

In this study, high-throughput sequencing and metabolomics analysis were conducted to analyze the microbial and metabolites of dry-cured Sanchuan ham, Laowo ham, Nuodeng ham, and Heqing ham that have fermented for two years produced from western Yunnan China. Results showed that at the genus level, the dominant bacteria in the four types of ham were

Indexed as

BacteriumDry-cured hamFungiMetabolic pathwaysMetabolite

Identifiers

PMID38495458
PMCPMC10943036
OpenAlexW4392455241

What OpenQuestion holds

Textmetadata
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.