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Nonlinear ridge regression improves cell-type-specific differential expression analysis

Overview of attention for article published in BMC Bioinformatics, March 2021
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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4 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Nonlinear ridge regression improves cell-type-specific differential expression analysis
Published in
BMC Bioinformatics, March 2021
DOI 10.1186/s12859-021-03982-3
Pubmed ID
Authors

Fumihiko Takeuchi, Norihiro Kato

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 38%
Researcher 1 13%
Unknown 4 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 25%
Medicine and Dentistry 2 25%
Unknown 4 50%
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 23 March 2021.
All research outputs
#15,329,366
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#5,159
of 7,418 outputs
Outputs of similar age
#247,077
of 429,332 outputs
Outputs of similar age from BMC Bioinformatics
#147
of 169 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 26th percentile – i.e., 26% 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 429,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.