Evidence map›Paper›PMID 32316483›Full record

ArticleGenes2020

Innovating Computational Biology and Intelligent Medicine: ICIBM 2019 Special Issue.

Yan Guo, Xia Ning, Ewy Mathé, Kai Wang, Lang Li, Chi Zhang, Zhongming Zhao

Abstract readEditorial
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yan GuoDepartment of Internal Medicine, Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM 87131, USA.
Xia NingDepartment of Biomedical Informatics, Ohio State University, Columbus, OH 43210, USA.
Ewy MathéDepartment of Biomedical Informatics, Ohio State University, Columbus, OH 43210, USA.
Kai WangRaymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Lang LiDepartment of Biomedical Informatics, Ohio State University, Columbus, OH 43210, USA.
Chi ZhangDepartment of Medical & Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN 46202, USA.
Zhongming ZhaoCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

Funding

National Science Foundation IIS-1902617
6 · The paper itself

Abstract

The International Association for Intelligent Biology and Medicine (IAIBM) is a nonprofit organization that promotes intelligent biology and medical science. It hosts an annual International Conference on Intelligent Biology and Medicine (ICIBM), which was established in 2012. The ICIBM 2019 was held from 9 to 11 June 2019 in Columbus, Ohio, USA. Out of the 105 original research manuscripts submitted to the conference, 18 were selected for publication in a Special Issue in

Indexed as

AlgorithmsBiomedical ResearchMedicineSystems BiologyTranscriptomeComputational BiologyHumanscancer informaticsclustering algorithmmicrobiome researchsingle cell omicsstatistical methodstranscriptomic analysis and tools

Identifiers

PMID32316483
PMCPMC7231250

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.