Evidence map›Paper›PMID 28713345›Full record

ArticleFrontiers in microbiology2017

Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota.

Yong Liu, Cristian R Munteanu, Carlos Fernandez-Lozano, Alejandro Pazos, Tao Ran, Zhiliang Tan, Yizun Yu, Chuanshe Zhou, Shaoxun Tang, Humberto González-Díaz

Abstract read
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In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

10 authors.

Yong LiuKey Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, Institute of Subtropical Agriculture, Chinese Academy of SciencesChangsha, China.
Cristian R MunteanuRNASA-IMEDIR, Computer Science Faculty, University of A CorunaA Coruña, Spain.
Carlos Fernandez-LozanoRNASA-IMEDIR, Computer Science Faculty, University of A CorunaA Coruña, Spain.
Alejandro PazosRNASA-IMEDIR, Computer Science Faculty, University of A CorunaA Coruña, Spain.
Tao RanKey Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, Institute of Subtropical Agriculture, Chinese Academy of SciencesChangsha, China.
Zhiliang TanKey Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, Institute of Subtropical Agriculture, Chinese Academy of SciencesChangsha, China.
Yizun YuInstitute of Biological Resources, Jiangxi Academy of SciencesJiangxi, China.
Chuanshe ZhouKey Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, Institute of Subtropical Agriculture, Chinese Academy of SciencesChangsha, China.
Shaoxun TangKey Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock and Poultry Sciences, South-Central Experimental Station of Animal Nutrition and Feed Science in the Ministry of Agriculture, Institute of Subtropical Agriculture, Chinese Academy of SciencesChangsha, China.
Humberto González-DíazDepartment of Organic Chemistry II, University of the Basque Country UPV/EHULeioa, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electrokinetic properties of the rumen microbiota are involved in cell surface adhesion and microbial metabolism. An

Indexed as

artificial neural networkselectrokinetic propertiesperturbation theorypredictive modelruminal microbiomezeta potential

Identifiers

PMID28713345
PMCPMC5491601

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.