Evidence map›Paper›PMID 34438701›Full record

ArticleAnimals : an open access journal from MDPI2021

Bacterial Community Characteristics in the Gastrointestinal Tract of Yak (

Xueping Han, Hongjin Liu, Linyong Hu, Na Zhao, Shixiao Xu, Zhijia Lin, Yongwei Chen

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2021. 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
–field-weighted citation impact
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.

  1. Article
  2. An Epidemiological Study onAnimals : an open access journal from MDPI · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. The adaptive strategies of yaks to live in the Asian highlands.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2022
    Review
  7. Article
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.

Xueping HanNorthwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China.ORCID 0000-0003-3214-4773
Hongjin LiuNorthwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China.
Linyong HuNorthwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China.
Na ZhaoNorthwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China.
Shixiao XuNorthwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China.
Zhijia LinTechnology Extension Service of Animal Husbandry of Qinghai, Xining 810001, China.
Yongwei ChenTechnology Extension Service of Animal Husbandry of Qinghai, Xining 810001, China.

Funding

National Key Research and Development Program of China 2016YFC0501805National Key Research and Development Program of China 2016YFC0501905Qinghai innovation platform construction project 2017-ZJ-Y20Science and technology support program of Qinghai Province 2017-NK-153Science and technology support program of Qinghai Province 2017-SF-A6Science and technology support program of Qinghai Province 2019-SF-149Science and technology support program of Qinghai Province 2019-SF-153Strategic Priority Research Program of Chinese Academy of Sciences XDA20050104
6 · The paper itself

Abstract

In the current research, samples of yak gastrointestinal tracts (GITs) were used to profile the bacterial compositional characteristics using high through-put sequencing technology of 16S RNA amplicon. A total of 6959 OTUs was obtained from 20,799,614 effective tags, among which 751 OTUs were shared by ten sections. A total of 16 known phyla were obtained in all samples-the most abundant phyla were

Indexed as

bacterialcharacteristicsgastrointestinal tractQinghai–Tibetan Plateausexyak

Identifiers

PMID34438701
PMCPMC8388508

What OpenQuestion holds

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Registered trials

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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.