Evidence map›Paper›PMID 40528739›Full record

ArticleThe New phytologist2026

Automated extraction of leaf mass per area from digitized herbarium specimens.

Thais Vasconcelos, William N Weaver, Aly Baumgartner, Zoë Bugnaski, James Boyko

Abstract read
In one paragraph

Article in The New phytologist, 2026. 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
–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

1 citing paper in PubMed.

  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

5 authors.

Thais VasconcelosDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID https://orcid.org/0000-0001-9991-7924
William N WeaverDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID https://orcid.org/0000-0003-0633-5066
Aly BaumgartnerDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID https://orcid.org/0000-0002-3165-7297
Zoë BugnaskiDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID https://orcid.org/0009-0002-2862-1258
James BoykoDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID https://orcid.org/0000-0003-0952-169X

Funding

BioXFEL Science and Technology Center DEB 2217116
6 · The paper itself

Abstract

The digitization of vast herbarium collections has made millions of plant specimen images freely available online, which can now be used to generate phenotypic datasets of unprecedented scope. Here, we assess the potential of computer vision tools to automate the extraction of predicted leaf mass per area (LMA

Indexed as

Image Processing, Computer-AssistedMagnoliopsidaPlant LeavesAutomationClimateOrgan SizePhylogenyTemperatureangiospermsleaf arealeaf economic spectrumleaf massmachine learningprecipitationsolar radiation

Identifiers

PMID40528739
PMCPMC13278661

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.