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Identifying cancer mutation targets across thousands of samples: MuteProc, a high throughput mutation analysis pipeline

Overview of attention for article published in BMC Bioinformatics, May 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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10 X users

Citations

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2 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Identifying cancer mutation targets across thousands of samples: MuteProc, a high throughput mutation analysis pipeline
Published in
BMC Bioinformatics, May 2013
DOI 10.1186/1471-2105-14-167
Pubmed ID
Authors

Alireza Hadj Khodabakhshi, Anthony P Fejes, Inanc Birol, Steven JM Jones

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Sweden 1 3%
Denmark 1 3%
Brazil 1 3%
Unknown 29 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 36%
Student > Ph. D. Student 5 15%
Other 4 12%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 6 18%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 58%
Computer Science 4 12%
Medicine and Dentistry 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Business, Management and Accounting 1 3%
Other 0 0%
Unknown 4 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 June 2013.
All research outputs
#5,969,895
of 22,711,242 outputs
Outputs from BMC Bioinformatics
#2,227
of 7,259 outputs
Outputs of similar age
#50,056
of 195,012 outputs
Outputs of similar age from BMC Bioinformatics
#37
of 114 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,259 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 69% 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 195,012 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 74% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.