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X Demographics
Mendeley readers
Attention Score in Context
Title |
Feature selection of gene expression data for Cancer classification using double RBF-kernels
|
---|---|
Published in |
BMC Bioinformatics, October 2018
|
DOI | 10.1186/s12859-018-2400-2 |
Pubmed ID | |
Authors |
Shenghui Liu, Chunrui Xu, Yusen Zhang, Jiaguo Liu, Bin Yu, Xiaoping Liu, Matthias Dehmer |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 82 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 15% |
Student > Ph. D. Student | 11 | 13% |
Researcher | 8 | 10% |
Student > Bachelor | 5 | 6% |
Student > Postgraduate | 4 | 5% |
Other | 8 | 10% |
Unknown | 34 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 20 | 24% |
Biochemistry, Genetics and Molecular Biology | 9 | 11% |
Engineering | 7 | 9% |
Mathematics | 3 | 4% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 7 | 9% |
Unknown | 34 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 April 2023.
All research outputs
#7,262,704
of 23,989,432 outputs
Outputs from BMC Bioinformatics
#2,670
of 7,491 outputs
Outputs of similar age
#126,360
of 354,400 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 137 outputs
Altmetric has tracked 23,989,432 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,491 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 63% 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 354,400 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 63% of its contemporaries.
We're also able to compare this research output to 137 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 61% of its contemporaries.