Evidence map›Paper›PMID 32984417›Full record

ArticleFrontiers in veterinary science2020

Rumen Microbiome and Metabolome of Tibetan Sheep (

Huan Li, Qiaoling Yu, Tongtong Li, Liye Shao, Ming Su, Huakun Zhou, Jiapeng Qu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

26 citing papers in PubMed, 42 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

7 authors at 6 institutions in 1 country.

Huan LiSchool of Public Health, Lanzhou University, Lanzhou, China.
Qiaoling YuSchool of Public Health, Lanzhou University, Lanzhou, China.
Tongtong LiDepartment of Applied Biology, College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, China.
Liye ShaoKey Laboratory of Health Aquaculture and Product Processing in Dongting Lake Area of Hunan Province, Zoology Key Laboratory of Hunan Higher Education, Hunan University of Arts and Science, Changde, China.
Ming SuCentral South Inventory and Planning Institute of National Forestry and Grassland Administration, Changsha, China.
Huakun ZhouKey Laboratory of Restoration Ecology for Cold Regions in Qinghai, Xining, China.
Jiapeng QuKey Laboratory of Restoration Ecology for Cold Regions in Qinghai, Xining, China.
Lanzhou University · CNChinese Academy of Sciences · CNHunan University of Arts and Science · CNState Forestry and Grassland Administration · CNXinjiang Institute of Ecology and Geography · CNZhejiang University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rumen microbiota plays an important role in animal functional attributes. These microbes are indispensable for the normal physiological development of the rumen, and may also convert the plant polysaccharides from grass into available milk and meat, making it highly valuable to humans. Exploring the microbial composition and metabolites of rumen across developmental stages is important for understanding ruminant nutrition and metabolism. However, relatively few reports have investigated the microbiome and metabolites across developmental stages in ruminants. Using 16S rRNA gene sequnecing, metabolomics and high-performance liquid chromatography techniques, we compared the rumen microbiota, metabolites and short chain fatty acids (SCFAs) between lambs and sub-adult Tibetan sheep (

Indexed as

ageessential amino acidsmetabolomicsrumen microbiomeSCFA

Identifiers

PMID32984417
PMCPMC7492597
OpenAlexW3082744603

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.