Evidence map›Paper›PMID 40438736›Full record

ArticleFrontiers in plant science2025

Potentially suitable geographical area for

Yanan Wu, Lanmeng Yan, Hongjian Shen, Rui Guan, Qianqian Ge, Ling Huang, Emelda Rosseleena Rohani, Jinmei Ou, Rongchun Han, Xiaohui Tong

Abstract read
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. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Prediction of potential suitable habitat forFrontiers in plant science · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Impact of Climate Change on the Invasion ofPlants (Basel, Switzerland) · 2025
    Article
  8. Article
  9. 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

10 authors.

Yanan Wu *School of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Lanmeng Yan *School of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Hongjian ShenSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Rui GuanSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Qianqian GeSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Ling HuangSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Emelda Rosseleena RohaniInstitute of Systems Biology, Universiti Kebangsaan Malaysi, Bangi, Malaysia.
Jinmei OuSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Rongchun HanSchool of Pharmacy, Anhui University of Chinese Medicine, Hefei, China.
Xiaohui TongSchool of Life Sciences, Anhui University of Chinese Medicine, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change has significantly impacted the distribution patterns of medicinal plants, highlighting the need for accurate models to predict future habitat shifts. In this study, the Maximum Entropy model to analyze the habitat distribution of

Indexed as

ArcGISecological suitability zoningfuture climate changeMaxEnt modelPulsatilla chinensis

Identifiers

PMID40438736
PMCPMC12116669

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.