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Differentially mutated subnetworks discovery

Overview of attention for article published in Algorithms for Molecular Biology, March 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Differentially mutated subnetworks discovery
Published in
Algorithms for Molecular Biology, March 2019
DOI 10.1186/s13015-019-0146-7
Pubmed ID
Authors

Morteza Chalabi Hajkarim, Eli Upfal, Fabio Vandin

Twitter Demographics

The data shown below were collected from the profiles of 4 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 55%
Student > Ph. D. Student 2 18%
Student > Master 1 9%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 4 36%
Biochemistry, Genetics and Molecular Biology 4 36%
Agricultural and Biological Sciences 1 9%
Arts and Humanities 1 9%
Chemistry 1 9%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 February 2020.
All research outputs
#8,927,673
of 15,566,445 outputs
Outputs from Algorithms for Molecular Biology
#92
of 223 outputs
Outputs of similar age
#136,690
of 271,092 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 1 outputs
Altmetric has tracked 15,566,445 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 223 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 57% 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 271,092 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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