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Optimization and expansion of non-negative matrix factorization

Overview of attention for article published in BMC Bioinformatics, January 2020
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Mentioned by

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1 X user

Citations

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65 Dimensions

Readers on

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110 Mendeley
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Title
Optimization and expansion of non-negative matrix factorization
Published in
BMC Bioinformatics, January 2020
DOI 10.1186/s12859-019-3312-5
Pubmed ID
Authors

Xihui Lin, Paul C. Boutros

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

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 22%
Student > Master 13 12%
Student > Bachelor 9 8%
Researcher 8 7%
Student > Doctoral Student 7 6%
Other 14 13%
Unknown 35 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 12%
Engineering 13 12%
Computer Science 13 12%
Agricultural and Biological Sciences 7 6%
Medicine and Dentistry 4 4%
Other 21 19%
Unknown 39 35%
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 January 2020.
All research outputs
#19,017,658
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#6,465
of 7,418 outputs
Outputs of similar age
#337,266
of 458,873 outputs
Outputs of similar age from BMC Bioinformatics
#163
of 211 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 458,873 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.