Evidence map›Paper›PMID 38448551›Full record

ArticleScientific data2024

A global dataset on species occurrences and functional traits of Schizothoracinae fish.

Tingqi Du, Chengzhi Ding, Ke Yang, Jinnan Chen, Xingchen Liu, Wenna Lv, Liuyong Ding, Dekui He, Juan Tao

Abstract readDataset
In one paragraph

Article in Scientific data, 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. Haplotype-resolved genome ofZoological research · 2026
    Article
  4. 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

9 authors.

Tingqi DuYunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming, 650091, China.
Chengzhi DingYunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming, 650091, China. chzhding@ynu.edu.cn.
Ke YangYunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming, 650091, China.
Jinnan ChenInstitute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.ORCID 0000-0003-4996-0101
Xingchen LiuYunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming, 650091, China.
Wenna LvYunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming, 650091, China.
Liuyong DingInstitute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.ORCID 0000-0002-5490-182X
Dekui HeInstitute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
Juan TaoYunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming, 650091, China. taojuanat@gmail.com.ORCID 0000-0003-3108-7412

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Schizothoracinae fish are a natural group of cyprinids widely distributed in rivers and lakes in the Qinghai-Tibetan Plateau (QTP) and adjacent regions. These fish parallelly evolved with the QTP uplift and are thus important for uncovering geological history, the paleoclimatic environment, and the mechanisms of functional adaptation to environmental change. However, a dataset including species occurrences and functional traits, which are essential for resolving the above issues and guiding relevant conservation, remains unavailable. To fill this gap, we systematically compiled a comprehensive dataset on species occurrences and functional traits of Schizothoracinae fish from our long-term field samplings and various sources (e.g., publications and online databases). The dataset includes 7,333 occurrence records and 3,204 records of 32 functional traits covering all the genera and species of Schizothoracinae fish (i.e., 12 genera and 125 species or subspecies). Sampling records spanned over 180 years. This dataset will serve as a valuable resource for future research on the evolution, historical biogeography, responses to environmental change, and conservation of the Schizothoracinae fish.

Indexed as

CyprinidaeAnimalsChinaDatabases, FactualLakesPhenotypeRivers

Identifiers

PMID38448551
PMCPMC10918187

What OpenQuestion holds

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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.