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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 (63rd percentile)

Mentioned by

4 Wikipedia pages


156 Dimensions

Readers on

156 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 156 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 137 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 24%
Student > Ph. D. Student 35 22%
Student > Master 17 11%
Professor > Associate Professor 11 7%
Student > Bachelor 10 6%
Other 35 22%
Unknown 10 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 75 48%
Biochemistry, Genetics and Molecular Biology 31 20%
Computer Science 13 8%
Medicine and Dentistry 12 8%
Immunology and Microbiology 2 1%
Other 9 6%
Unknown 14 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 19 December 2020.
All research outputs
of 16,636,435 outputs
Outputs from BMC Biology
of 1,440 outputs
Outputs of similar age
of 337,526 outputs
Outputs of similar age from BMC Biology
of 1 outputs
Altmetric has tracked 16,636,435 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one is in the 27th percentile – i.e., 27% 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 337,526 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 63% 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