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Gene Mapping, Discovery, and Expression

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Attention for Chapter: Mining Microarray Data at NCBI’s Gene Expression Omnibus (GEO)*
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Chapter title
Mining Microarray Data at NCBI’s Gene Expression Omnibus (GEO)*
Book title
Gene Mapping, Discovery, and Expression
Published in
Methods in molecular biology, January 2006
DOI 10.1385/1-59745-097-9:175
Pubmed ID
Book ISBNs
978-1-58829-575-0, 978-1-59745-097-3
Authors

Tanya Barrett, Ron Edgar, Barrett, Tanya, Edgar, Ron

Abstract

The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) has emerged as the leading fully public repository for gene expression data. This chapter describes how to use Web-based interfaces, applications, and graphics to effectively explore, visualize, and interpret the hundreds of microarray studies and millions of gene expression patterns stored in GEO. Data can be examined from both experiment-centric and gene-centric perspectives using user-friendly tools that do not require specialized expertise in microarray analysis or time-consuming download of massive data sets. The GEO database is publicly accessible through the World Wide Web at http://www.ncbi.nlm.nih.gov/geo.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 4%
United Kingdom 3 2%
France 2 2%
South Africa 1 <1%
Israel 1 <1%
Egypt 1 <1%
Korea, Republic of 1 <1%
Spain 1 <1%
Belgium 1 <1%
Other 0 0%
Unknown 106 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 25%
Researcher 27 22%
Student > Master 12 10%
Student > Bachelor 7 6%
Professor > Associate Professor 7 6%
Other 22 18%
Unknown 17 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 36%
Biochemistry, Genetics and Molecular Biology 17 14%
Computer Science 13 11%
Medicine and Dentistry 11 9%
Engineering 3 2%
Other 11 9%
Unknown 23 19%
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 22 October 2013.
All research outputs
#15,283,138
of 22,727,570 outputs
Outputs from Methods in molecular biology
#5,306
of 13,085 outputs
Outputs of similar age
#131,287
of 154,185 outputs
Outputs of similar age from Methods in molecular biology
#23
of 34 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,085 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 154,185 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.