Evidence map›Paper›PMID 23324024›Full record

ArticleBMC bioinformatics2013

The taxonomic name resolution service: an online tool for automated standardization of plant names.

Brad Boyle, Nicole Hopkins, Zhenyuan Lu, Juan Antonio Raygoza Garay, Dmitry Mozzherin, Tony Rees, Naim Matasci, Martha L Narro, William H Piel, Sheldon J McKay and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
152citing papers in PubMed, 2 pooled it
44.7field-weighted citation impact, top 1% 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

152 citing papers in PubMed, 2 syntheses or guidelines pooled it, 540 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  7. Programmatic access to ICTV virus taxonomy through a public ontology API.bioRxiv : the preprint server for biology · 2026
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  20. General laws of biodiversity: Climatic niches predict plant range size and ecological dominance globally.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article

92 more citing papers are in PubMed but not listed here.

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

14 authors at 7 institutions in 3 countries.

Brad BoyleDepartment of Ecology and Evolutionary Biology, University of Arizona Tucson, P,O, Box 210088, Tucson, AZ 85721, USA. bboyle@email.arizona.edu
Nicole Hopkins
Zhenyuan Lu
Juan Antonio Raygoza Garay
Dmitry Mozzherin
Tony Rees
Naim Matasci
Martha L Narro
William H Piel
Sheldon J McKay
Sonya Lowry
Chris Freeland
Robert K Peet
Brian J Enquist
University of Arizona · USCold Spring Harbor Laboratory · USCSIRO Oceans and Atmosphere · AUMarine Biological Laboratory · USMissouri Botanical Garden · USUniversity of North Carolina at Chapel Hill · USYale-NUS College · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe digitization of biodiversity data is leading to the widespread application of taxon names that are superfluous, ambiguous or incorrect, resulting in mismatched records and inflated species numbers. The ultimate consequences of misspelled names and bad taxonomy are erroneous scientific conclusions and faulty policy decisions. The lack of tools for correcting this 'names problem' has become a fundamental obstacle to integrating disparate data sources and advancing the progress of biodiversity science.

resultsThe TNRS, or Taxonomic Name Resolution Service, is an online application for automated and user-supervised standardization of plant scientific names. The TNRS builds upon and extends existing open-source applications for name parsing and fuzzy matching. Names are standardized against multiple reference taxonomies, including the Missouri Botanical Garden's Tropicos database. Capable of processing thousands of names in a single operation, the TNRS parses and corrects misspelled names and authorities, standardizes variant spellings, and converts nomenclatural synonyms to accepted names. Family names can be included to increase match accuracy and resolve many types of homonyms. Partial matching of higher taxa combined with extraction of annotations, accession numbers and morphospecies allows the TNRS to standardize taxonomy across a broad range of active and legacy datasets.

conclusionsWe show how the TNRS can resolve many forms of taxonomic semantic heterogeneity, correct spelling errors and eliminate spurious names. As a result, the TNRS can aid the integration of disparate biological datasets. Although the TNRS was developed to aid in standardizing plant names, its underlying algorithms and design can be extended to all organisms and nomenclatural codes. The TNRS is accessible via a web interface at http://tnrs.iplantcollaborative.org/ and as a RESTful web service and application programming interface. Source code is available at https://github.com/iPlantCollaborativeOpenSource/TNRS/.

Indexed as

SoftwareAlgorithmsClassificationDatabases, FactualInternetNamesPlantsUser-Computer Interface

Identifiers

PMID23324024
PMCPMC3554605
OpenAlexW2107347656

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.