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Accelerating precision biology and medicine with computational biology and bioinformatics

Overview of attention for article published in Genome Biology (Online Edition), September 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
25 Mendeley
citeulike
1 CiteULike
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Title
Accelerating precision biology and medicine with computational biology and bioinformatics
Published in
Genome Biology (Online Edition), September 2014
DOI 10.1186/s13059-014-0450-y
Pubmed ID
Authors

Yves A Lussier, Haiquan Li, Nima Pouladi, Qike Li

Abstract

A report on the 22nd Annual International Conference on Intelligent Systems for Molecular Biology, held in Boston, Massachusetts, USA, July 11-15, 2014.

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
United States 1 4%
Italy 1 4%
Unknown 22 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 36%
Researcher 4 16%
Other 3 12%
Student > Bachelor 2 8%
Professor 2 8%
Other 4 16%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 28%
Computer Science 6 24%
Medicine and Dentistry 4 16%
Biochemistry, Genetics and Molecular Biology 2 8%
Mathematics 2 8%
Other 4 16%

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 01 October 2015.
All research outputs
#5,057,455
of 21,262,134 outputs
Outputs from Genome Biology (Online Edition)
#2,682
of 4,017 outputs
Outputs of similar age
#50,081
of 225,868 outputs
Outputs of similar age from Genome Biology (Online Edition)
#57
of 102 outputs
Altmetric has tracked 21,262,134 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,017 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one is in the 33rd percentile – i.e., 33% 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 225,868 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.