| Title |
A greedy feature selection algorithm for Big Data of high dimensionality
|
|---|---|
| Published in |
Machine Learning, August 2018
|
| DOI | 10.1007/s10994-018-5748-7 |
| Pubmed ID | |
| Authors |
Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis, Polyvios Pratikakis, Vassilis Christophides |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Greece | 2 | 33% |
| United States | 1 | 17% |
| Germany | 1 | 17% |
| Brazil | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Student > Master | 11 | 16% |
| Researcher | 8 | 12% |
| Student > Bachelor | 7 | 10% |
| Professor > Associate Professor | 3 | 4% |
| Other | 8 | 12% |
| Unknown | 18 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 36% |
| Engineering | 8 | 12% |
| Medicine and Dentistry | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 3% |
| Business, Management and Accounting | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 22 | 33% |
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 25 September 2018.
All research outputs
#7,426,681
of 24,254,113 outputs
Outputs from Machine Learning
#267
of 1,054 outputs
Outputs of similar age
#121,122
of 334,308 outputs
Outputs of similar age from Machine Learning
#8
of 15 outputs
Altmetric has tracked 24,254,113 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 1,054 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 74% 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 334,308 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 15 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 53% of its contemporaries.