Evidence map›Paper›PMID 35250925›Full record

ArticleFrontiers in microbiology2022

Inferring the Contribution of Microbial Taxa and Organic Matter Molecular Formulas to Ecological Assembly.

Robert E Danczak, Aditi Sengupta, Sarah J Fansler, Rosalie K Chu, Vanessa A Garayburu-Caruso, Lupita Renteria, Jason Toyoda, Jacqueline Wells, James C Stegen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. 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
1.5field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

9 authors at 2 institutions in 1 country.

Robert E DanczakEcosystem Sciences, Pacific Northwest National Laboratory, Richland, WA, United States.
Aditi SenguptaDepartment of Biology, California Lutheran University, Thousand Oaks, CA, United States.
Sarah J FanslerEcosystem Sciences, Pacific Northwest National Laboratory, Richland, WA, United States.
Rosalie K ChuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States.
Vanessa A Garayburu-CarusoEcosystem Sciences, Pacific Northwest National Laboratory, Richland, WA, United States.
Lupita RenteriaEcosystem Sciences, Pacific Northwest National Laboratory, Richland, WA, United States.
Jason ToyodaEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, United States.
Jacqueline WellsEcosystem Sciences, Pacific Northwest National Laboratory, Richland, WA, United States.
James C StegenEcosystem Sciences, Pacific Northwest National Laboratory, Richland, WA, United States.
Pacific Northwest National Laboratory · USCalifornia Lutheran University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the mechanisms underlying the assembly of communities has long been the goal of many ecological studies. While several studies have evaluated community wide ecological assembly, fewer have focused on investigating the impacts of individual members within a community or assemblage on ecological assembly. Here, we adapted a previous null model β-nearest taxon index (βNTI) to measure the contribution of individual features within an ecological community to overall assembly. This new metric, called feature-level βNTI (βNTI

Indexed as

community assemblyFTICR-MSmetacommunity ecologymeta-metabolome ecologynull modelingβ-nearest taxon index

Identifiers

PMID35250925
PMCPMC8894727
OpenAlexW4212819515

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.