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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

twitter
1 tweeter

Citations

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3 Dimensions

Readers on

mendeley
30 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
Authors

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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Student > Ph. D. Student 4 13%
Student > Master 3 10%
Professor > Associate Professor 2 7%
Student > Doctoral Student 2 7%
Other 9 30%
Unknown 5 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 20%
Medicine and Dentistry 5 17%
Computer Science 5 17%
Biochemistry, Genetics and Molecular Biology 3 10%
Neuroscience 2 7%
Other 2 7%
Unknown 7 23%

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
#12,296,451
of 13,897,020 outputs
Outputs from BMC Systems Biology
#952
of 1,089 outputs
Outputs of similar age
#312,242
of 365,943 outputs
Outputs of similar age from BMC Systems Biology
#71
of 91 outputs
Altmetric has tracked 13,897,020 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 1,089 research outputs from this source. They receive a mean Attention Score of 3.4. 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 365,943 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 91 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.