Evidence map›Paper›PMID 40872108›Full record

ArticlePlants (Basel, Switzerland)2025

Stand Structure Extraction and Analysis of

Xiongfu Gao, Xiaoqing Shi, Weiheng Xu, Zengquan Lan, Juxiang He, Huan Wang, Leiguang Wang, Ning Lu, Guanglong Ou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Xiongfu GaoCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650233, China.
Xiaoqing ShiCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650233, China.
Weiheng XuCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650233, China.ORCID 0000-0002-9588-4931
Zengquan LanAnciant Tea Plant Research Center, Southwest Forestry University, Kunming 650223, China.
Juxiang HeCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650233, China.
Huan WangCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650233, China.
Leiguang WangCollege of Landscape and Horticulture, Southwest Forestry University, Kunming 650233, China.
Ning LuCollege of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650233, China.ORCID 0000-0003-0214-5038
Guanglong OuCollege of Forestry, Southwest Forestry University, Kunming 650233, China.ORCID 0000-0003-1925-6690

Funding

Basic Research Program Key Project of Yunnan Province, China 202501AS070090Research on the Protection and Sustainable Development of Wild Tea Tree Community in Qi-anjiazhai, Ailao Mountain 2063146"Ten Thousand Talents Program" Special Project for Young Top-notch Talents of Yunnan Province YNWR-QNBJ-2020047the National Natural Science Foundation of China 32360387, 32060320, 32160368
6 · The paper itself

Abstract

The stand structure of ancient tea tree (

Indexed as

ancient tea tree communitybackpack laser scanningspecies diversitystand non-spatial structurestand spatial structure

Identifiers

PMID40872108
PMCPMC12389430

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.