Evidence map›Paper›PMID 39628545›Full record

ArticleApplications in plant sciences

expowo: An R package for mining global plant diversity and distribution data.

Débora C Zuanny, Bruno Vilela, Peter W Moonlight, Tiina E Särkinen, Domingos Cardoso

Abstract read
In one paragraph

Article in Applications in plant sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Can Ecological Niche Modeling of Prickly Juniper (Plants (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. 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.

Débora C ZuannyInstituto de Biologia Universidade Federal da Bahia, Rua Barão de Jeremoabo s.n., Ondina Salvador 40170-115 Bahia Brazil.ORCID 0000-0001-6623-3788
Bruno VilelaInstituto de Biologia Universidade Federal da Bahia, Rua Barão de Jeremoabo s.n., Ondina Salvador 40170-115 Bahia Brazil.ORCID 0000-0003-4072-0558
Peter W MoonlightSchool of Botany Trinity College Dublin 1 College Green, Dublin 2 Ireland.ORCID 0000-0003-4342-2089
Tiina E SärkinenRoyal Botanic Garden Edinburgh, 20a Inverleith Row Edinburgh EH3 5LR Scotland United Kingdom.ORCID 0000-0002-6956-3093
Domingos CardosoInstituto de Biologia Universidade Federal da Bahia, Rua Barão de Jeremoabo s.n., Ondina Salvador 40170-115 Bahia Brazil.ORCID 0000-0001-7072-2656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premise: Data on plant distribution and diversity from natural history collections and taxonomic databases are increasingly becoming available online as exemplified by the Royal Botanic Gardens, Kew's Plants of the World Online (POWO) database. This growing accumulation of biodiversity information requires an advance in bioinformatic tools for accessing and processing the massive data for use in downstream science. We present herein expowo, an open-source package that facilitates extracting and using botanical data from POWO. Methods and Results: The expowo package is implemented in R and designed to handle the entire vascular plant tree of life. It includes functions to readily distill taxonomic and distributional information about all families, genera, or species of vascular plants. It outputs a complete list of species in each genus of any plant family, with the associated original publication, synonyms, and distribution, and plots global maps of species richness at the country and botanical country levels, as well as graphs displaying species-discovery accumulation curves and nomenclatural changes over time. To demonstrate expowo's strengths in producing easy-to-handle outputs, we also show empirical examples from a set of biodiverse countries and representative species-rich and ecologically important angiosperm families. Conclusions: By harnessing bioinformatic tools that accommodate varying levels of R programming proficiency, expowo functions assist users who have limited R programming expertise in efficiently distilling specific botanical information from online sources and producing maps and graphics for the further interpretation of biogeographic and taxonomic patterns.

Indexed as

biodiversitydata miningnatural history collectionsvascular plants

Identifiers

PMID39628545
PMCPMC11610411

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Registered trials

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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.