Evidence map›Paper›PMID 30038903›Full record

ArticleFrontiers in cellular and infection microbiology2018

High Throughput Sequencing and Network Analysis Disentangle the Microbial Communities of Ticks and Hosts Within and Between Ecosystems.

Agustín Estrada-Peña, Alejandro Cabezas-Cruz, Thomas Pollet, Muriel Vayssier-Taussat, Jean-François Cosson

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
9.8field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 75 citations in OpenAlex.

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  5. Microbial community variations in adultFrontiers in microbiology · 2025
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  11. Microbiology spectrum · 2023
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  18. What do we know about the microbiome ofFrontiers in cellular and infection microbiology · 2022
    Review
  19. Assessing Temporal Changes in Microbial Communities inFrontiers in veterinary science · 2022
    Article
  20. The Isolation of Culturable Bacteria inInternational journal of environmental research and public health · 2021
    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

5 authors at 3 institutions in 2 countries.

Agustín Estrada-PeñaFaculty of Veterinary Medicine, University of Zaragoza, Zaragoza, Spain.
Alejandro Cabezas-CruzUMR BIPAR, INRA, ANSES, Ecole Nationale Vétérinaire d'Alfort, Université Paris-Est, Maisons-Alfort, France.
Thomas PolletUMR BIPAR, INRA, ANSES, Ecole Nationale Vétérinaire d'Alfort, Université Paris-Est, Maisons-Alfort, France.
Muriel Vayssier-TaussatUMR BIPAR, INRA, ANSES, Ecole Nationale Vétérinaire d'Alfort, Université Paris-Est, Maisons-Alfort, France.
Jean-François CossonUMR BIPAR, INRA, ANSES, Ecole Nationale Vétérinaire d'Alfort, Université Paris-Est, Maisons-Alfort, France.
Bipar · FRÉcole Nationale Vétérinaire d'Alfort · FRUniversidad de Zaragoza · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to develop a framework, based on graph theory, to capture the ecological meaning behind pure pair comparisons of microbiome-derived data. As a proof of concept, we applied the framework to analyze the co-occurrence of bacteria in either

Indexed as

MicrobiotaAnimalsArvicolinaeBacteriaCluster AnalysisComputational BiologyDNA, BacterialDNA, RibosomalEcosystemHigh-Throughput Nucleotide SequencingIxodesMetagenomicsPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASpleenDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SIxodes ricinusmicrobiomenetwork analysisnext generation sequencing (NGS)ticksvoles

Identifiers

PMID30038903
PMCPMC6046413
OpenAlexW2808799337

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.