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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Minimum redundancy maximum relevance feature selection approach for temporal gene expression data
|
|---|---|
| Published in |
BMC Bioinformatics, January 2017
|
| DOI | 10.1186/s12859-016-1423-9 |
| Pubmed ID | |
| Authors |
Milos Radovic, Mohamed Ghalwash, Nenad Filipovic, Zoran Obradovic |
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 States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 316 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | <1% |
| Unknown | 315 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 17% |
| Student > Master | 38 | 12% |
| Researcher | 32 | 10% |
| Student > Bachelor | 27 | 9% |
| Student > Doctoral Student | 18 | 6% |
| Other | 55 | 17% |
| Unknown | 91 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 68 | 22% |
| Engineering | 55 | 17% |
| Biochemistry, Genetics and Molecular Biology | 20 | 6% |
| Medicine and Dentistry | 18 | 6% |
| Agricultural and Biological Sciences | 11 | 3% |
| Other | 37 | 12% |
| Unknown | 107 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 07 May 2022.
All research outputs
#2,606,625
of 25,605,018 outputs
Outputs from BMC Bioinformatics
#670
of 7,726 outputs
Outputs of similar age
#50,375
of 423,747 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 139 outputs
Altmetric has tracked 25,605,018 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,726 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 done particularly well, scoring higher than 91% 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 423,747 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 88% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.