Evidence map›Paper›PMID 38694759›Full record

ArticleEcology and evolution2024

ZooTraits: An R shiny app for exploring animal trait data for ecological and evolutionary research.

Thiago Gonçalves-Souza, Beatriz Milz, Nathan J Sanders, Peter B Reich, Brian Maitner, Leonardo S Chaves, Gabriel X Boldorini, Natália Ferreira, Reginaldo A F Gusmão, Phamela Bernardes Perônico and 2 more

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Thiago Gonçalves-SouzaInstitute for Global Change Biology, School for Environment and Sustainability University of Michigan Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0001-8471-7479
Beatriz MilzPós-graduação em Ciência Ambiental, Instituto de Energia e Ambiente Universidade de São Paulo São Paulo Brazil.ORCID https://orcid.org/0000-0002-3064-4486
Nathan J SandersDepartment of Ecology and Evolutionary Biology University of Michigan Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0001-6220-6731
Peter B ReichInstitute for Global Change Biology, School for Environment and Sustainability University of Michigan Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0003-4424-662X
Brian MaitnerDepartment of Geography University at Buffalo Buffalo New York USA.ORCID https://orcid.org/0000-0002-2118-9880
Leonardo S ChavesComparative BioCognition, Institute of Cognitive Science University of Osnabrück Osnabrück Germany.ORCID https://orcid.org/0000-0001-5998-5578
Gabriel X BoldoriniPrograma de Pós-Graduação em Etnobiologia e Conservação da Natureza, Departmento de Biologia Universidade Federal Rural de Pernambuco Recife Brazil.ORCID https://orcid.org/0000-0001-7581-9043
Natália FerreiraPrograma de Pós-Graduação em Biodiversidade, Departmento de Biologia Universidade Federal Rural de Pernambuco Recife Brazil.ORCID https://orcid.org/0000-0003-4332-7786
Reginaldo A F GusmãoPrograma de Pós-Graduação em Etnobiologia e Conservação da Natureza, Departmento de Biologia Universidade Federal Rural de Pernambuco Recife Brazil.ORCID https://orcid.org/0000-0003-2294-9607
Phamela Bernardes PerônicoPrograma de Pós-Graduação em Recursos Naturais do Cerrado Universidade Estadual de Goiás Anápolis Brazil.ORCID https://orcid.org/0000-0002-6907-9859
Fabrício B TeresaPrograma de Pós-Graduação em Recursos Naturais do Cerrado Universidade Estadual de Goiás Anápolis Brazil.ORCID https://orcid.org/0000-0002-1357-4391
María Natalia UmañaDepartment of Ecology and Evolutionary Biology University of Michigan Ann Arbor Michigan USA.ORCID https://orcid.org/0000-0001-5876-7720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal trait data are scattered across several datasets, making it challenging to compile and compare trait information across different groups. For plants, the TRY database has been an unwavering success for those ecologists interested in addressing how plant traits influence a wide variety of processes and patterns, but the same is not true for most animal taxonomic groups. Here, we introduce ZooTraits, a Shiny app designed to help users explore and obtain animal trait data for research in ecology and evolution. ZooTraits was developed to tackle the challenge of finding in a single site information of multiple trait datasets and facilitating access to traits by providing an easy-to-use, open-source platform. This app combines datasets centralized in the Open Trait Network, raw data from the AnimalTraits database, and trait information for animals compiled by Gonçalves-Souza et al. (2023,

Indexed as

animal trait databaseOpen ScienceRaunkiæran shortfalltrait‐based ecology

Identifiers

PMID38694759
PMCPMC11056955

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.