Evidence map›Paper›PMID 35663905›Full record

ArticleFrontiers in microbiology2022

Could a Focus on the "Why" of Taxonomy Help Taxonomy Better Respond to the Needs of Science and Society?

Leighton Pritchard, C Titus Brown, Bailey Harrington, Lenwood S Heath, N Tessa Pierce-Ward, Boris A Vinatzer

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 59% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 2 countries.

Leighton PritchardStrathclyde Institute for Pharmacy and Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow, United Kingdom.
C Titus BrownDepartment of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.
Bailey HarringtonStrathclyde Institute for Pharmacy and Biomedical Sciences (SIPBS), University of Strathclyde, Glasgow, United Kingdom.
Lenwood S HeathDepartment of Computer Science, Virginia Tech, Blacksburg, VA, United States.
N Tessa Pierce-WardDepartment of Population Health and Reproduction, University of California, Davis, Davis, CA, United States.
Boris A VinatzerSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, United States.
University of California, Davis · USUniversity of Strathclyde · GBVirginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomics has put prokaryotic rank-based taxonomy on a solid phylogenetic foundation. However, most taxonomic ranks were set long before the advent of DNA sequencing and genomics. In this concept paper, we thus ask the following question: should prokaryotic classification schemes besides the current phylum-to-species ranks be explored, developed, and incorporated into scientific discourse? Could such alternative schemes provide better solutions to the basic need of science and society for which taxonomy was developed, namely, precise and meaningful identification? A neutral genome-similarity based framework is then described that could allow alternative classification schemes to be explored, compared, and translated into each other without having to choose only one as the gold standard. Classification schemes could thus continue to evolve and be selected according to their benefits and based on how well they fulfill the need for prokaryotic identification.

Indexed as

genomicsidentificationphylogenyprokaryotesspeciestaxonomic rankstaxonomy

Identifiers

PMID35663905
PMCPMC9160990
OpenAlexW4280549543

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.