↓ Skip to main content

ILRC: a hybrid biomarker discovery algorithm based on improved L1 regularization and clustering in microarray data

Overview of attention for article published in BMC Bioinformatics, October 2021
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
4 X users
patent
1 patent

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
25 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
ILRC: a hybrid biomarker discovery algorithm based on improved L1 regularization and clustering in microarray data
Published in
BMC Bioinformatics, October 2021
DOI 10.1186/s12859-021-04443-7
Pubmed ID
Authors

Kun Yu, Weidong Xie, Linjie Wang, Wei Li

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 16%
Student > Ph. D. Student 2 8%
Lecturer 2 8%
Other 1 4%
Professor 1 4%
Other 1 4%
Unknown 14 56%
Readers by discipline Count As %
Unspecified 4 16%
Biochemistry, Genetics and Molecular Biology 2 8%
Medicine and Dentistry 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Engineering 1 4%
Other 0 0%
Unknown 15 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 October 2021.
All research outputs
#7,425,875
of 25,918,104 outputs
Outputs from BMC Bioinformatics
#2,651
of 7,781 outputs
Outputs of similar age
#139,660
of 445,181 outputs
Outputs of similar age from BMC Bioinformatics
#73
of 171 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,781 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 445,181 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.