Evidence map›Paper›PMID 40979292›Full record

ArticleInnovation (Cambridge (Mass.))2025

aplot: Simplifying the creation of complex graphs to visualize associations across diverse data types.

Shuangbin Xu, Qianwen Wang, Shaodi Wen, Junrui Li, Nan He, Ming Li, Thomas Hackl, Rui Wang, Dongqiang Zeng, Shixiang Wang and 7 more

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Article
  7. 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

17 authors.

Shuangbin XuDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.
Qianwen WangDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.
Shaodi WenDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.
Junrui LiDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.
Nan HeDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.
Ming LiDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.
Thomas HacklGroningen Institute for Evolutionary Life Sciences, University of Groningen, 9700CC Groningen, the Netherlands.
Rui WangDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.
Dongqiang ZengDepartment of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China.
Shixiang WangDepartment of Biomedical Informatics, School of Life Sciences, Central South University, Changsha, China.
Shensuo LiWest China School of Public Health and West China Fourth Hospital, and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China.
Chun-Hui GaoNational Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China.
Lang ZhouDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.
Shaoguo TaoNephrology Department of the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Zijing XieDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.
Lin DengDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.
Guangchuang YuDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong 510515, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective data visualization is crucial for researchers, revealing patterns, trends, and insights that might otherwise remain hidden. Integrating related visualizations can reveal correlations and relationships that are not evident when analyzing datasets separately. Despite increasing demand, there is a shortage of general tools to seamlessly combine diverse datasets to create complex visual representations. The

Indexed as

aplotcomplex graphsdata visualizationgene expression analysismulti-omics integration

Identifiers

PMID40979292
PMCPMC12447650

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.