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Multi-tissue coexpression networks reveal unexpected subnetworks associated with disease

Overview of attention for article published in Genome Biology (Online Edition), January 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
125 Dimensions

Readers on

mendeley
192 Mendeley
citeulike
15 CiteULike
connotea
1 Connotea
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Title
Multi-tissue coexpression networks reveal unexpected subnetworks associated with disease
Published in
Genome Biology (Online Edition), January 2009
DOI 10.1186/gb-2009-10-5-r55
Pubmed ID
Authors

Radu Dobrin, Jun Zhu, Cliona Molony, Carmen Argman, Mark L Parrish, Sonia Carlson, Mark F Allan, Daniel Pomp, Eric E Schadt

Mendeley readers

The data shown below were compiled from readership statistics for 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 5%
Italy 2 1%
Spain 2 1%
United Kingdom 2 1%
India 1 <1%
Sweden 1 <1%
China 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
Other 0 0%
Unknown 171 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 62 32%
Student > Ph. D. Student 49 26%
Professor > Associate Professor 19 10%
Professor 17 9%
Student > Doctoral Student 9 5%
Other 28 15%
Unknown 8 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 109 57%
Biochemistry, Genetics and Molecular Biology 30 16%
Medicine and Dentistry 16 8%
Computer Science 11 6%
Mathematics 6 3%
Other 8 4%
Unknown 12 6%

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 04 August 2015.
All research outputs
#3,624,138
of 12,486,858 outputs
Outputs from Genome Biology (Online Edition)
#2,054
of 2,835 outputs
Outputs of similar age
#72,650
of 239,705 outputs
Outputs of similar age from Genome Biology (Online Edition)
#10
of 14 outputs
Altmetric has tracked 12,486,858 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,835 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.9. This one is in the 18th percentile – i.e., 18% 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 239,705 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 66% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.