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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data
|
---|---|
Published in |
BMC Bioinformatics, March 2020
|
DOI | 10.1186/s12859-020-3411-3 |
Pubmed ID | |
Authors |
Guang-Hui Fu, Yuan-Jiao Wu, Min-Jie Zong, Jianxin Pan |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 38% |
Lecturer > Senior Lecturer | 1 | 4% |
Lecturer | 1 | 4% |
Other | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Other | 1 | 4% |
Unknown | 10 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 21% |
Mathematics | 3 | 13% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Economics, Econometrics and Finance | 1 | 4% |
Decision Sciences | 1 | 4% |
Other | 3 | 13% |
Unknown | 10 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 11 April 2020.
All research outputs
#4,004,672
of 23,199,478 outputs
Outputs from BMC Bioinformatics
#1,500
of 7,349 outputs
Outputs of similar age
#86,330
of 368,017 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 117 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,349 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 79% 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 368,017 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.