Evidence map›Paper›PMID 40692665›Full record

ArticleFrontiers in plant science2025

Assessment of suitability evaluation for

Hongliang Gu, Yuxia Chen, Qinqin Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Hongliang GuSchool of Resources and Environment, Anqing Normal University, Anqing, China.
Yuxia ChenSchool of Resources and Environment, Anqing Normal University, Anqing, China.
Qinqin ZhangSchool of Resources and Environment, Anqing Normal University, Anqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Guangxi Zhuang Autonomous Region of China is home to numerous Ficus altissima Blume ( Methods: To address this gap, using machine learning and species distribution models, we analyzed their distribution patterns and habitat suitability changes under current and future climate scenarios, incorporating 33 climatic, topographic, and soil-related driving factors. Results: Our findings reveal that the region hosts 514 ancient

Indexed as

ancient treesF. altissimaGuangxi Zhuang autonomous regionMaxentspecies distribution models

Identifiers

PMID40692665
PMCPMC12278064

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.