Evidence map›Paper›PMID 31597718›Full record

ArticlemSphere2019

Optimization of a Method To Quantify Soil Bacterial Abundance by Flow Cytometry.

Banafshe Khalili, Claudia Weihe, Sarah Kimball, Katharina T Schmidt, Jennifer B H Martiny

Abstract read
In one paragraph

Article in mSphere, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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.

Banafshe KhaliliDepartment of Ecology and Evolutionary Biology, University of California, Irvine, Irvine, California, USA.
Claudia WeiheDepartment of Ecology and Evolutionary Biology, University of California, Irvine, Irvine, California, USA.
Sarah KimballCenter for Environmental Biology, University of California, Irvine, Irvine, California, USA.
Katharina T SchmidtCenter for Environmental Biology, University of California, Irvine, Irvine, California, USA.
Jennifer B H MartinyDepartment of Ecology and Evolutionary Biology, University of California, Irvine, Irvine, California, USA jmartiny@uci.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial abundance is a fundamental metric for understanding the population dynamics of soil bacteria and their role in biogeochemical cycles. Despite its importance, methodological constraints hamper our ability to assess bacterial abundance in terrestrial environments. Here, we aimed to optimize the use of flow cytometry (FCM) to assay bacterial abundances in soil while providing a rigorous quantification of its limitations. Soil samples were spiked with

Indexed as

Soil MicrobiologyBacteriaEscherichia coliFlow Cytometrybacterial cell countecosystem typesextraction procedureflow cytometrysoil

Identifiers

PMID31597718
PMCPMC6796974

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.