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A classification based framework for quantitative description of large-scale microarray data

Overview of attention for article published in Genome Biology, April 2006
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About this Attention Score

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

Mentioned by

patent
1 patent

Citations

dimensions_citation
60 Dimensions

Readers on

mendeley
85 Mendeley
citeulike
2 CiteULike
connotea
3 Connotea
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Title
A classification based framework for quantitative description of large-scale microarray data
Published in
Genome Biology, April 2006
DOI 10.1186/gb-2006-7-4-r32
Pubmed ID
Authors

Dipen P Sangurdekar, Friedrich Srienc, Arkady B Khodursky

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 7%
Portugal 1 1%
Germany 1 1%
Canada 1 1%
Brazil 1 1%
Japan 1 1%
Luxembourg 1 1%
Unknown 73 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 35%
Student > Ph. D. Student 22 26%
Student > Bachelor 7 8%
Professor > Associate Professor 5 6%
Professor 4 5%
Other 12 14%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 49%
Biochemistry, Genetics and Molecular Biology 15 18%
Computer Science 6 7%
Chemistry 4 5%
Engineering 3 4%
Other 9 11%
Unknown 6 7%
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 24 December 2014.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#29,100
of 84,821 outputs
Outputs of similar age from Genome Biology
#8
of 17 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 84,821 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.