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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A review of feature selection methods based on mutual information
|
|---|---|
| Published in |
Neural Computing and Applications, March 2013
|
| DOI | 10.1007/s00521-013-1368-0 |
| Authors |
Jorge R. Vergara, Pablo A. Estévez |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 720 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | <1% |
| United States | 3 | <1% |
| Germany | 2 | <1% |
| Malaysia | 1 | <1% |
| Australia | 1 | <1% |
| India | 1 | <1% |
| Turkey | 1 | <1% |
| China | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 706 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 172 | 24% |
| Student > Master | 109 | 15% |
| Researcher | 64 | 9% |
| Student > Bachelor | 43 | 6% |
| Student > Doctoral Student | 34 | 5% |
| Other | 101 | 14% |
| Unknown | 197 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 228 | 32% |
| Engineering | 147 | 20% |
| Biochemistry, Genetics and Molecular Biology | 17 | 2% |
| Agricultural and Biological Sciences | 16 | 2% |
| Mathematics | 13 | 2% |
| Other | 70 | 10% |
| Unknown | 229 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 08 August 2023.
All research outputs
#6,656,774
of 25,837,817 outputs
Outputs from Neural Computing and Applications
#146
of 2,612 outputs
Outputs of similar age
#52,292
of 211,442 outputs
Outputs of similar age from Neural Computing and Applications
#2
of 5 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,612 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 94% 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 211,442 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 74% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.