Evidence map›Paper›PMID 38855470›Full record

ArticleFrontiers in plant science2024

Predicting the potential distribution of

Yijie Wang, Youjie Zhao, Guangting Miao, Xiaotao Zhou, Chunjiang Yu, Yong Cao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Predicting the potential distribution ofFrontiers in plant science · 2025
    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

6 authors.

Yijie WangCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, China.
Youjie ZhaoCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, China.
Guangting MiaoCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, China.
Xiaotao ZhouCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, China.
Chunjiang YuCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, China.
Yong CaoCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: We predict their potential suitable distribution areas in the future, thereby offering a theoretical basis for monitoring and controlling Results: The results indicate that the primary climatic factors influencing the distribution of Discussion: By 2050, its migration direction is expected to closely align with that of

Indexed as

climate changeDendrolimus punctatusMaxEnt modelPinus massonianaspecies distribution modeling

Identifiers

PMID38855470
PMCPMC11157609

What OpenQuestion holds

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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.