Evidence map›Paper›PMID 34026726›Full record

ArticleFrontiers in chemistry2021

iMAP: A Web Server for Metabolomics Data Integrative Analysis.

Di Zhou, Wenjia Zhu, Tao Sun, Yang Wang, Yi Chi, Tianlu Chen, Jingchao Lin

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2021. 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. BioMark: biomarker analysis tool.BMC bioinformatics · 2026
    Article
  2. Article
  3. A critical role of NNature immunology · 2025
    Article
  4. Article
  5. Article
  6. Network Analysis in Systems Epidemiology.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2021
    Review
  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

7 authors.

Di ZhouMetabo-Profile Biotechnology (Shanghai) Co. Ltd., Shanghai, China.
Wenjia ZhuMetabo-Profile Biotechnology (Shanghai) Co. Ltd., Shanghai, China.
Tao SunCenter for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Yang WangMetabo-Profile Biotechnology (Shanghai) Co. Ltd., Shanghai, China.
Yi ChiMetabo-Profile Biotechnology (Shanghai) Co. Ltd., Shanghai, China.
Tianlu ChenCenter for Translational Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Jingchao LinMetabo-Profile Biotechnology (Shanghai) Co. Ltd., Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics data analysis depends on the utilization of bioinformatics tools. To meet the evolving needs of metabolomics research, several integrated platforms have been developed. Our group has developed a desktop platform IP4M (integrated Platform for Metabolomics Data Analysis) which allows users to perform a nearly complete metabolomics data analysis in one-stop. With the extensive usage of IP4M, more and more demands were raised from users worldwide for a web version and a more customized workflow. Thus, iMAP (integrated Metabolomics Analysis Platform) was developed with extended functions, improved performances, and redesigned structures. Compared with existing platforms, iMAP has more methods and usage modes. A new module was developed with an automatic pipeline for train-test set separation, feature selection, and predictive model construction and validation. A new module was incorporated with sufficient editable parameters for network construction, visualization, and analysis. Moreover, plenty of plotting tools have been upgraded for highly customized publication-ready figures. Overall, iMAP is a good alternative tool with complementary functions to existing metabolomics data analysis platforms. iMAP is freely available for academic usage at https://imap.metaboprofile.cloud/ (License MPL 2.0).

Indexed as

correlation-based networkmetabolomicsstatistical analysisvisualizationworkflow

Identifiers

PMID34026726
PMCPMC8133432

What OpenQuestion holds

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LicenceCC BY
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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.