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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Based Computational Gene Selection Models: A Survey, Performance Evaluation, Open Issues, and Future Research Directions
|
|---|---|
| Published in |
Frontiers in Genetics, December 2020
|
| DOI | 10.3389/fgene.2020.603808 |
| Pubmed ID | |
| Authors |
Nivedhitha Mahendran, P. M. Durai Raj Vincent, Kathiravan Srinivasan, Chuan-Yu Chang |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 98 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 17% |
| Student > Master | 9 | 9% |
| Researcher | 7 | 7% |
| Student > Bachelor | 4 | 4% |
| Other | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 46 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 16% |
| Biochemistry, Genetics and Molecular Biology | 10 | 10% |
| Engineering | 8 | 8% |
| Agricultural and Biological Sciences | 5 | 5% |
| Medicine and Dentistry | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 50 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 31 December 2020.
All research outputs
#19,017,658
of 23,577,761 outputs
Outputs from Frontiers in Genetics
#7,421
of 12,603 outputs
Outputs of similar age
#380,761
of 510,170 outputs
Outputs of similar age from Frontiers in Genetics
#269
of 467 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,603 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 510,170 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 467 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.