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A computational approach inspired by simulated annealing to study the stability of protein interaction networks in cancer and neurological disorders

Overview of attention for article published in Data Mining and Knowledge Discovery, March 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

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7 X users

Citations

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Readers on

mendeley
26 Mendeley
Title
A computational approach inspired by simulated annealing to study the stability of protein interaction networks in cancer and neurological disorders
Published in
Data Mining and Knowledge Discovery, March 2015
DOI 10.1007/s10618-015-0410-5
Authors

Kristina Ibáñez, María Guijarro, Gonzalo Pajares, Alfonso Valencia

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Spain 1 4%
Unknown 24 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Researcher 5 19%
Student > Doctoral Student 3 12%
Professor 3 12%
Student > Bachelor 2 8%
Other 5 19%
Unknown 2 8%
Readers by discipline Count As %
Computer Science 8 31%
Agricultural and Biological Sciences 7 27%
Biochemistry, Genetics and Molecular Biology 3 12%
Mathematics 2 8%
Immunology and Microbiology 1 4%
Other 3 12%
Unknown 2 8%
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 27 March 2015.
All research outputs
#7,348,589
of 24,396,012 outputs
Outputs from Data Mining and Knowledge Discovery
#140
of 582 outputs
Outputs of similar age
#81,283
of 267,274 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#2
of 2 outputs
Altmetric has tracked 24,396,012 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 582 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 76% 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 267,274 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 69% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.