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ImaGEO: integrative gene expression meta-analysis from GEO database.

Overview of attention for article published in Bioinformatics, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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37 X users

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Title
ImaGEO: integrative gene expression meta-analysis from GEO database.
Published in
Bioinformatics, August 2018
DOI 10.1093/bioinformatics/bty721
Pubmed ID
Authors

Daniel Toro-Domínguez, Jordi Martorell-Marugán, Raúl López-Domínguez, Adrián García-Moreno, Víctor González-Rumayor, Marta E Alarcón-Riquelme, Pedro Carmona-Sáez

Abstract

The Gene Expression Omnibus (GEO) database provides an invaluable resource of publicly available gene expression data that can be integrated and analyzed to derive new hypothesis and knowledge. In this context, gene expression meta-analysis is increasingly used in several fields to improve study reproducibility and discovering robust biomarkers. Nevertheless, integrating data is not straightforward without bioinformatics expertise. Here, we present ImaGEO, a web tool for gene expression meta-analysis that implements a complete and comprehensive meta-analysis workflow starting from GEO dataset identifiers. The application integrates GEO datasets, applies different meta-analysis techniques and provides functional analysis results in an easy-to-use environment. ImaGEO is a powerful and useful resource that allows researchers to integrate and perform meta-analysis of GEO datasets to lead robust findings for biomarker discovery studies. ImaGEO is accessible at http://bioinfo.genyo.es/imageo/. Online-only Supplementary data available at the journal's web site.

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 17%
Researcher 16 17%
Student > Master 14 15%
Student > Bachelor 7 7%
Other 6 6%
Other 7 7%
Unknown 28 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 23%
Agricultural and Biological Sciences 15 16%
Computer Science 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Medicine and Dentistry 4 4%
Other 11 12%
Unknown 33 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 May 2022.
All research outputs
#1,928,617
of 25,468,708 outputs
Outputs from Bioinformatics
#1,140
of 12,837 outputs
Outputs of similar age
#38,946
of 342,210 outputs
Outputs of similar age from Bioinformatics
#34
of 273 outputs
Altmetric has tracked 25,468,708 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,837 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,210 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 273 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.