Evidence map›Paper›PMID 34188843›Full record

ArticleEcology and evolution2021

Web databases of feather photographs are useful tools for avian morphometry studies.

Juan E Malo, Cristina Mata

Abstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

2 authors.

Juan E MaloTerrestrial Ecology Group (TEG-UAM) Departamento de Ecología Facultad de Ciencias Universidad Autónoma de Madrid Madrid Spain.ORCID https://orcid.org/0000-0002-6033-5035
Cristina MataTerrestrial Ecology Group (TEG-UAM) Departamento de Ecología Facultad de Ciencias Universidad Autónoma de Madrid Madrid Spain.ORCID https://orcid.org/0000-0002-6206-1015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wing area, wing loading, and aspect ratio are key variables for studies of avian comparative ecology, despite the complexity of measuring wing characteristics in living and museum specimens. The systematic databases of feather photographs available on the Internet may offer an alternative way of obtaining such morphometric data. Here, we evaluate whether measurements of scanned feathers from web photograph databases may offer reliable estimates of avian morphometry.Published data on wing area were obtained for 317 bird species and feather measurements from web photograph databases for 225 of them. A variable termed "lift generation area," a proxy for wing area, was calculated for each species on the basis of the mean length of the five distal secondary feathers and wingspan data from literature. The fit between this proposed variable and data extracted from the literature was examined by correlation, employing linear regression to explore the lack of fit among species."Lift generation area" proved to be highly informative as a proxy for wing area for the study species as a whole (

Indexed as

aspect ratiobirdfeathermeasurement errorphotogrammetrysizeweb databasewing area

Identifiers

PMID34188843
PMCPMC8216968

What OpenQuestion holds

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LicenceCC BY
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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.