Evidence map›Paper›PMID 33144942›Full record

ArticleEcology and evolution2020

Genetic adaptation of Tibetan poplar (

Chenfei Zheng, Lizhi Tan, Mengmeng Sang, Meixia Ye, Rongling Wu

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2020. 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
0.9field-weighted citation impact, top 23% of its field
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, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Genetic Adaptation of Siberian Larch (International journal of molecular sciences · 2023
    Article
  4. Genetic adaptation of Tibetan poplar (Ecology and evolution · 2020
    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

5 authors at 2 institutions in 2 countries.

Chenfei ZhengBeijing Advanced Innovation Center for Tree Breeding by Molecular Design Center for Computational Biology College of Biological Sciences and Technology Beijing Forestry University Beijing China.ORCID https://orcid.org/0000-0002-2673-8068
Lizhi TanBeijing Advanced Innovation Center for Tree Breeding by Molecular Design Center for Computational Biology College of Biological Sciences and Technology Beijing Forestry University Beijing China.
Mengmeng SangBeijing Advanced Innovation Center for Tree Breeding by Molecular Design Center for Computational Biology College of Biological Sciences and Technology Beijing Forestry University Beijing China.
Meixia YeBeijing Advanced Innovation Center for Tree Breeding by Molecular Design Center for Computational Biology College of Biological Sciences and Technology Beijing Forestry University Beijing China.
Rongling WuBeijing Advanced Innovation Center for Tree Breeding by Molecular Design Center for Computational Biology College of Biological Sciences and Technology Beijing Forestry University Beijing China.
Beijing Forestry University · CNPennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant adaptation to high altitudes has long been a substantial focus of ecological and evolutionary research. However, the genetic mechanisms underlying such adaptation remain poorly understood. Here, we address this issue by sampling, genotyping, and comparing populations of Tibetan poplar,

Indexed as

adaptationgene flowgenetic locipopulation genetic variationTibetan poplar

Identifiers

PMID33144942
PMCPMC7593140
OpenAlexW3089623388

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.