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Twiner: correlation-based regularization for identifying common cancer gene signatures

Overview of attention for article published in BMC Bioinformatics, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users
facebook
1 Facebook page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Twiner: correlation-based regularization for identifying common cancer gene signatures
Published in
BMC Bioinformatics, June 2019
DOI 10.1186/s12859-019-2937-8
Pubmed ID
Authors

Marta B. Lopes, Sandra Casimiro, Susana Vinga

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 11%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 8%
Researcher 3 8%
Student > Doctoral Student 2 5%
Other 8 22%
Unknown 13 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 19%
Medicine and Dentistry 5 14%
Computer Science 3 8%
Agricultural and Biological Sciences 2 5%
Engineering 2 5%
Other 2 5%
Unknown 16 43%
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 11 July 2019.
All research outputs
#8,187,133
of 25,247,084 outputs
Outputs from BMC Bioinformatics
#3,039
of 7,664 outputs
Outputs of similar age
#135,911
of 357,688 outputs
Outputs of similar age from BMC Bioinformatics
#80
of 160 outputs
Altmetric has tracked 25,247,084 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 7,664 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 58% 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 357,688 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 61% of its contemporaries.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.