Evidence map›Paper›PMID 38867732›Full record

ArticleiMeta2022

ImageGP: An easy-to-use data visualization web server for scientific researchers.

Tong Chen, Yong-Xin Liu, Luqi Huang

Abstract read
In one paragraph

Article in iMeta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 228 papers.

0numbers the graph read from it
0cells of the map it votes in
228citing 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

228 citing papers in PubMed.

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  13. Spatiotemporal dynamics of mucosa-associatedAnimal nutrition (Zhongguo xu mu shou yi xue hui) · 2025
    Article
  14. Article
  15. Article
  16. iMeta · 2025
    Article
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  20. Article

168 more citing papers are in PubMed but not listed here.

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

3 authors.

Tong ChenState Key Laboratory Breeding Base of Dao-di Herbs National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing China.ORCID 0000-0003-3134-3113
Yong-Xin LiuState Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design Chinese Academy of Sciences Beijing China.ORCID 0000-0003-1832-9835
Luqi HuangState Key Laboratory Breeding Base of Dao-di Herbs National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data visualization plays a crucial role in illustrating results and sharing knowledge among researchers. Though many types of visualization tools are widely used, most of them require enough coding experience or are designed for specialized usages, or are not free. Here, we present ImageGP, a specialized visualization platform designed for biology and chemistry data illustration. ImageGP could generate generalized plots like lines, bars, scatters, boxes, sets, heatmaps, and histograms with the most common input content in a user-friendly interface. Normally plotting using ImageGP only needs a few mouse clicks. For some plots, one only needs to just paste data and click submit to get the visualization results. Additionally, ImageGP supplies up to 26 parameters to meet customizable requirements. ImageGP also contains specialized plots like volcano plot, functional enrichment plot for most omics-data analysis, and other four specialized functions for microbiome analysis. Since 2017, ImageGP has been running for nearly 5 years and serving 336,951 visits from all over the world. Together, ImageGP (http://www.ehbio.com/ImageGP/) is an effective and efficient tool for experimental researchers to comprehensively visualize and interpret data generated from wet-lab and dry-lab.

Indexed as

ampliconbioinformaticsdata visualizationmetagenomemicrobiomeweb server

Identifiers

PMID38867732
PMCPMC10989750

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.