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From Bytes to Bedside: Data Integration and Computational Biology for Translational Cancer Research

Overview of attention for article published in PLoS Computational Biology, February 2007
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About this Attention Score

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

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
126 Mendeley
citeulike
10 CiteULike
connotea
6 Connotea
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Title
From Bytes to Bedside: Data Integration and Computational Biology for Translational Cancer Research
Published in
PLoS Computational Biology, February 2007
DOI 10.1371/journal.pcbi.0030012
Pubmed ID
Authors

Jomol P Mathew, Barry S Taylor, Gary D Bader, Saiju Pyarajan, Marco Antoniotti, Arul M Chinnaiyan, Chris Sander, Steven J Burakoff, Bud Mishra

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 6%
United Kingdom 3 2%
Canada 2 2%
France 2 2%
Germany 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Switzerland 1 <1%
Netherlands 1 <1%
Other 3 2%
Unknown 103 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 26%
Student > Ph. D. Student 21 17%
Professor > Associate Professor 15 12%
Student > Bachelor 12 10%
Other 11 9%
Other 24 19%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 35%
Computer Science 18 14%
Medicine and Dentistry 16 13%
Biochemistry, Genetics and Molecular Biology 14 11%
Mathematics 5 4%
Other 14 11%
Unknown 15 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 July 2015.
All research outputs
#7,356,343
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#4,995
of 8,960 outputs
Outputs of similar age
#29,364
of 91,279 outputs
Outputs of similar age from PLoS Computational Biology
#14
of 22 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 42nd percentile – i.e., 42% 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 91,279 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 22 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.