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comoR: a software for disease comorbidity risk assessment

Overview of attention for article published in Journal of Clinical Bioinformatics, May 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
78 Mendeley
citeulike
1 CiteULike
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Title
comoR: a software for disease comorbidity risk assessment
Published in
Journal of Clinical Bioinformatics, May 2014
DOI 10.1186/2043-9113-4-8
Pubmed ID
Authors

Mohammad Ali Moni, Pietro Liò

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

Geographical breakdown

Country Count As %
Spain 2 3%
United States 2 3%
Sweden 1 1%
Austria 1 1%
Unknown 72 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Researcher 10 13%
Student > Master 10 13%
Other 7 9%
Student > Bachelor 6 8%
Other 16 21%
Unknown 15 19%
Readers by discipline Count As %
Computer Science 18 23%
Biochemistry, Genetics and Molecular Biology 11 14%
Agricultural and Biological Sciences 7 9%
Medicine and Dentistry 7 9%
Engineering 5 6%
Other 10 13%
Unknown 20 26%
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 06 March 2018.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Journal of Clinical Bioinformatics
#33
of 61 outputs
Outputs of similar age
#144,334
of 239,999 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#1
of 2 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 31st percentile – i.e., 31% 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 239,999 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
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. This one has scored higher than all of them