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BioGPS and GXD: mouse gene expression data—the benefits and challenges of data integration

Overview of attention for article published in Mammalian Genome, July 2012
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Title
BioGPS and GXD: mouse gene expression data—the benefits and challenges of data integration
Published in
Mammalian Genome, July 2012
DOI 10.1007/s00335-012-9408-0
Pubmed ID
Authors

Martin Ringwald, Chunlei Wu, Andrew I. Su

Abstract

Mouse gene expression data are complex and voluminous. To maximize the utility of these data, they must be made readily accessible through databases, and those resources need to place the expression data in the larger biological context. Here we describe two community resources that approach these problems in different but complementary ways: BioGPS and the Mouse Gene Expression Database (GXD). BioGPS connects its large and homogeneous microarray gene expression reference data sets via plugins with a heterogeneous collection of external gene centric resources, thus casting a wide but loose net. GXD acquires different types of expression data from many sources and integrates these data tightly with other types of data in the Mouse Genome Informatics (MGI) resource, with a strong emphasis on consistency checks and manual curation. We describe and contrast the "loose" and "tight" data integration strategies employed by BioGPS and GXD, respectively, and discuss the challenges and benefits of data integration. BioGPS is freely available at http://biogps.org . GXD is freely available through the MGI web site ( www.informatics.jax.org ) or directly at www.informatics.jax.org/expression.shtml .

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 28%
Student > Ph. D. Student 7 28%
Other 5 20%
Professor 2 8%
Unspecified 1 4%
Other 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 40%
Biochemistry, Genetics and Molecular Biology 6 24%
Medicine and Dentistry 3 12%
Unspecified 1 4%
Psychology 1 4%
Other 1 4%
Unknown 3 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 June 2016.
All research outputs
#15,249,959
of 22,675,759 outputs
Outputs from Mammalian Genome
#927
of 1,124 outputs
Outputs of similar age
#104,191
of 164,120 outputs
Outputs of similar age from Mammalian Genome
#10
of 17 outputs
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So far Altmetric has tracked 1,124 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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