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Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data

Overview of attention for article published in BMC Bioinformatics, April 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Sparse multiple co-Inertia analysis with application to integrative analysis of multi -Omics data
Published in
BMC Bioinformatics, April 2020
DOI 10.1186/s12859-020-3455-4
Authors

Eun Jeong Min, Qi Long

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Researcher 5 18%
Student > Doctoral Student 3 11%
Student > Master 3 11%
Student > Bachelor 2 7%
Other 4 14%
Unknown 5 18%
Readers by discipline Count As %
Computer Science 5 18%
Biochemistry, Genetics and Molecular Biology 4 14%
Agricultural and Biological Sciences 3 11%
Mathematics 2 7%
Environmental Science 2 7%
Other 6 21%
Unknown 6 21%

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 17 April 2020.
All research outputs
#11,311,068
of 17,464,602 outputs
Outputs from BMC Bioinformatics
#4,383
of 6,171 outputs
Outputs of similar age
#138,937
of 228,841 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 6 outputs
Altmetric has tracked 17,464,602 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,171 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 20th percentile – i.e., 20% 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 228,841 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 6 others from the same source and published within six weeks on either side of this one.