Evidence map›Paper›PMID 33240225›Full record

ArticleFrontiers in microbiology2020

Soil Bacterial and Fungal Richness Forecast Patterns of Early Pine Litter Decomposition.

Michaeline B N Albright, Renee Johansen, Jaron Thompson, Deanna Lopez, La V Gallegos-Graves, Marie E Kroeger, Andreas Runde, Rebecca C Mueller, Alex Washburne, Brian Munsky and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 24 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

12 authors at 3 institutions in 1 country.

Michaeline B N AlbrightBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States.
Renee JohansenBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States.
Jaron ThompsonDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, United States.
Deanna LopezBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States.
La V Gallegos-GravesBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States.
Marie E KroegerBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States.
Andreas RundeBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States.
Rebecca C MuellerCenter for Biofilm Engineering, Montana State University, Bozeman, MT, United States.
Alex WashburneDepartment of Microbiology and Immunology, Montana State University, Bozeman, MT, United States.
Brian MunskyDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, United States.
Thomas YoshidaChemical Diagnostics and Engineering, Los Alamos National Laboratory, Los Alamos, NM, United States.
John DunbarBiosciences Division, Los Alamos National Laboratory, Los Alamos, NM, United States.
Los Alamos National Laboratory · USColorado State University · USMontana State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discovering widespread microbial processes that drive unexpected variation in carbon cycling may improve modeling and management of soil carbon (Prescott, 2010; Wieder et al., 2015a, 2018). A first step is to identify community features linked to carbon cycle variation. We addressed this challenge using an epidemiological approach with 206 soil communities decomposing Ponderosa pine litter in 618 microcosms. Carbon flow from litter decomposition was measured over a 6-week incubation. Cumulative CO

Indexed as

community featureslittermachine learningmicrobiomemodelingpinepredictionsoil carbon cycling

Identifiers

PMID33240225
PMCPMC7677502
OpenAlexW3094778760

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.