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Erratum to: CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancer

Overview of attention for article published in Genome Biology, August 2016
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1 X user

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14 Mendeley
Title
Erratum to: CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancer
Published in
Genome Biology, August 2016
DOI 10.1186/s13059-016-1034-9
Pubmed ID
Authors

Mark D. M. Leiserson, Hsin-Ta Wu, Fabio Vandin, Benjamin J. Raphael

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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 43%
Researcher 5 36%
Student > Master 2 14%
Lecturer > Senior Lecturer 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 50%
Computer Science 4 29%
Agricultural and Biological Sciences 2 14%
Engineering 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 August 2016.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Genome Biology
#4,269
of 4,467 outputs
Outputs of similar age
#300,071
of 381,643 outputs
Outputs of similar age from Genome Biology
#53
of 55 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 1st percentile – i.e., 1% 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 381,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.