Evidence map›Paper›PMID 37701243›Full record

ArticleEnvironmental science and ecotechnology2024

Incorporating adaptive genomic variation into predictive models for invasion risk assessment.

Yiyong Chen, Yangchun Gao, Xuena Huang, Shiguo Li, Zhixin Zhang, Aibin Zhan

Abstract read
In one paragraph

Article in Environmental science and ecotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Insects · 2025
    Review
  5. Article
  6. 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.

Yiyong ChenResearch Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Yangchun GaoGuangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Science, Guangzhou, 510260, China.
Xuena HuangResearch Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Shiguo LiResearch Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Zhixin ZhangCAS Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510275, China.
Aibin ZhanResearch Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global climate change is expected to accelerate biological invasions, necessitating accurate risk forecasting and management strategies. However, current invasion risk assessments often overlook adaptive genomic variation, which plays a significant role in the persistence and expansion of invasive populations. Here we used

Indexed as

Adaptive genomic variationClimate changeGenomic offsetHabitat suitabilityInvasion risk

Identifiers

PMID37701243
PMCPMC10494315

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.