↓ Skip to main content

Mining the diseasome

Overview of attention for article published in BioData Mining, September 2011
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
47 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Mining the diseasome
Published in
BioData Mining, September 2011
DOI 10.1186/1756-0381-4-25
Pubmed ID
Authors

Davnah Urbach, Jason H Moore

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 9%
Germany 2 4%
Spain 2 4%
Switzerland 1 2%
Brazil 1 2%
Portugal 1 2%
Italy 1 2%
Singapore 1 2%
Unknown 34 72%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Researcher 11 23%
Student > Master 6 13%
Professor > Associate Professor 4 9%
Student > Postgraduate 3 6%
Other 6 13%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 53%
Biochemistry, Genetics and Molecular Biology 7 15%
Computer Science 5 11%
Chemistry 2 4%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 6 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 September 2011.
All research outputs
#5,702,690
of 22,651,245 outputs
Outputs from BioData Mining
#118
of 307 outputs
Outputs of similar age
#33,068
of 126,030 outputs
Outputs of similar age from BioData Mining
#1
of 2 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 307 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 60% 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 126,030 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 73% of its contemporaries.
We're also able to compare this research output to 2 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