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Pathway level analysis of gene expression using singular value decomposition

Overview of attention for article published in BMC Bioinformatics, September 2005
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
2 patents

Citations

dimensions_citation
334 Dimensions

Readers on

mendeley
262 Mendeley
citeulike
9 CiteULike
connotea
3 Connotea
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Title
Pathway level analysis of gene expression using singular value decomposition
Published in
BMC Bioinformatics, September 2005
DOI 10.1186/1471-2105-6-225
Pubmed ID
Authors

John Tomfohr, Jun Lu, Thomas B Kepler

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Germany 2 <1%
United States 2 <1%
Russia 2 <1%
Australia 1 <1%
Czechia 1 <1%
Mexico 1 <1%
Netherlands 1 <1%
Malaysia 1 <1%
Other 1 <1%
Unknown 246 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 67 26%
Student > Ph. D. Student 53 20%
Student > Master 29 11%
Professor > Associate Professor 16 6%
Student > Bachelor 16 6%
Other 41 16%
Unknown 40 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 32%
Biochemistry, Genetics and Molecular Biology 53 20%
Computer Science 28 11%
Mathematics 11 4%
Medicine and Dentistry 11 4%
Other 29 11%
Unknown 45 17%
Attention Score in Context

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 26 March 2024.
All research outputs
#7,472,947
of 22,849,304 outputs
Outputs from BMC Bioinformatics
#3,025
of 7,291 outputs
Outputs of similar age
#20,507
of 58,798 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 22 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,291 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 58,798 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.