Evidence map›Paper›PMID 32075230›Full record

ArticleInternational journal of molecular sciences2020

Heterogeneous Network Model to Identify Potential Associations Between

Apichat Suratanee, Kitiporn Plaimas

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. 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
2.0field-weighted citation impact, top 11% of its field
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, 15 citations in OpenAlex.

  1. Article
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  6. Prediction of Human-Bioinformatics and biology insights · 2021
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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

2 authors at 2 institutions in 1 country.

Apichat SurataneeDepartment of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand.ORCID 0000-0002-3439-6619
Kitiporn PlaimasAdvanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Chulalongkorn University · THKing Mongkut's University of Technology North Bangkok · TH

Funding

King Mongkut's University of Technology North Bangkok KMUTNB-61-GOV-B-24
6 · The paper itself

Abstract

Integration of multiple sources and data levels provides a great insight into the complex associations between human and malaria systems. In this study, a meta-analysis framework was developed based on a heterogeneous network model for integrating human-malaria protein similarities, a human protein interaction network, and a

Indexed as

AlgorithmsAnimalsHost-Pathogen InteractionsHumansMalariaMultiprotein ComplexesPlasmodium vivaxProtein Interaction MapsProtozoan ProteinsSuccinate DehydrogenaseMultiprotein ComplexesProtozoan ProteinsSuccinate Dehydrogenaseheterogeneous networkshost-malaria interactionsiterative network propagationmalarianetwork analysisPlasmodium vivax

Identifiers

PMID32075230
PMCPMC7072978
OpenAlexW3005630248

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.