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BLASSO: integration of biological knowledge into a regularized linear model

Overview of attention for article published in BMC Systems Biology, November 2018
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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39 Mendeley
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Title
BLASSO: integration of biological knowledge into a regularized linear model
Published in
BMC Systems Biology, November 2018
DOI 10.1186/s12918-018-0612-8
Pubmed ID
Authors

Daniel Urda, Francisco Aragón, Rocío Bautista, Leonardo Franco, Francisco J. Veredas, Manuel Gonzalo Claros, José Manuel Jerez

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 15%
Student > Ph. D. Student 4 10%
Student > Master 4 10%
Student > Bachelor 4 10%
Other 2 5%
Other 9 23%
Unknown 10 26%
Readers by discipline Count As %
Medicine and Dentistry 7 18%
Agricultural and Biological Sciences 5 13%
Computer Science 5 13%
Biochemistry, Genetics and Molecular Biology 4 10%
Engineering 2 5%
Other 4 10%
Unknown 12 31%
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 21 November 2018.
All research outputs
#20,542,814
of 23,114,117 outputs
Outputs from BMC Systems Biology
#1,011
of 1,144 outputs
Outputs of similar age
#373,126
of 437,534 outputs
Outputs of similar age from BMC Systems Biology
#37
of 47 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. 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 437,534 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 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.