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A comprehensive functional analysis of tissue specificity of human gene expression

Overview of attention for article published in BMC Biology, November 2008
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

5 Wikipedia pages


154 Dimensions

Readers on

161 Mendeley
13 CiteULike
1 Connotea
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A comprehensive functional analysis of tissue specificity of human gene expression
Published in
BMC Biology, November 2008
DOI 10.1186/1741-7007-6-49
Pubmed ID

Zoltán Dezső, Yuri Nikolsky, Evgeny Sviridov, Weiwei Shi, Tatiana Serebriyskaya, Damir Dosymbekov, Andrej Bugrim, Eugene Rakhmatulin, Richard J Brennan, Alexey Guryanov, Kelly Li, Julie Blake, Raymond R Samaha, Tatiana Nikolskaya


In recent years, the maturation of microarray technology has allowed the genome-wide analysis of gene expression patterns to identify tissue-specific and ubiquitously expressed ('housekeeping') genes. We have performed a functional and topological analysis of housekeeping and tissue-specific networks to identify universally necessary biological processes, and those unique to or characteristic of particular tissues.

Mendeley readers

The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Germany 2 1%
Russia 2 1%
Denmark 2 1%
Norway 1 <1%
United Kingdom 1 <1%
France 1 <1%
China 1 <1%
Turkey 1 <1%
Other 5 3%
Unknown 142 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 25%
Student > Ph. D. Student 35 22%
Student > Master 19 12%
Professor > Associate Professor 11 7%
Student > Bachelor 10 6%
Other 35 22%
Unknown 11 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 76 47%
Biochemistry, Genetics and Molecular Biology 33 20%
Computer Science 13 8%
Medicine and Dentistry 12 7%
Chemistry 2 1%
Other 10 6%
Unknown 15 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 May 2021.
All research outputs
of 17,790,494 outputs
Outputs from BMC Biology
of 1,543 outputs
Outputs of similar age
of 343,932 outputs
Outputs of similar age from BMC Biology
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Altmetric has tracked 17,790,494 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one is in the 26th percentile – i.e., 26% 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 343,932 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them