Evidence map›Paper›PMID 35437408›Full record

ArticleBiodiversity data journal2022

MaxEnt model-based prediction of potential distributions of

Xiaosong Dai, Wei Wu, Ling Ji, Shuang Tian, Bo Yang, Bicai Guan, Ding Wu

Abstract read
In one paragraph

Article in Biodiversity data journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Assessing the climate change impact onFrontiers in plant science · 2025
    Article
  7. Article
  8. Phylogeography of a herbalEcology and evolution · 2024
    Article
  9. Article
  10. Article
  11. Prediction of potential distributions ofEcology and evolution · 2024
    Article
  12. Prediction of the potential distribution ofBiodiversity data journal · 2024
    Article
  13. Predicting potential and quality distribution ofFrontiers in plant science · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Prediction of Suitable Habitat Distribution ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  18. Article
  19. Article
  20. 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

7 authors.

Xiaosong DaiCollege of Life Science, Nanchang University, Nanchang, China College of Life Science, Nanchang University Nanchang China.
Wei WuThe Institute for Sustainable Development, Macau University of Science and Technology, Macau, China The Institute for Sustainable Development, Macau University of Science and Technology Macau China.
Ling JiJiangxi Agricultural University, Nanchang, China Jiangxi Agricultural University Nanchang China.
Shuang TianJiangxi Key Laboratory of Plant Resources and Biodiversity, Jingdezhen University, Jingdezhen, China Jiangxi Key Laboratory of Plant Resources and Biodiversity, Jingdezhen University Jingdezhen China.
Bo YangJiangxi Key Laboratory of Plant Resources and Biodiversity, Jingdezhen University, Jingdezhen, China Jiangxi Key Laboratory of Plant Resources and Biodiversity, Jingdezhen University Jingdezhen China.
Bicai GuanCollege of Life Science, Nanchang University, Nanchang, China College of Life Science, Nanchang University Nanchang China.
Ding WuJiangxi Key Laboratory of Plant Resources and Biodiversity, Jingdezhen University, Jingdezhen, China Jiangxi Key Laboratory of Plant Resources and Biodiversity, Jingdezhen University Jingdezhen China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The maximum entropy (MaxEnt) model for predicting the potential suitable habitat of species has been commonly employed in many ecological and biological applications by using presence-only occurrence records along with associated environmental factors.

Indexed as

bioclimatic variablesMaxEntParnassiawightianapotential suitable region

Identifiers

PMID35437408
PMCPMC8942960

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.