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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Benchmark study of feature selection strategies for multi-omics data
|
|---|---|
| Published in |
BMC Bioinformatics, October 2022
|
| DOI | 10.1186/s12859-022-04962-x |
| Pubmed ID | |
| Authors |
Yingxia Li, Ulrich Mansmann, Shangming Du, Roman Hornung |
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 % |
|---|---|---|
| India | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 26% |
| Student > Ph. D. Student | 5 | 14% |
| Researcher | 3 | 9% |
| Student > Doctoral Student | 1 | 3% |
| Other | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 14 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 20% |
| Computer Science | 5 | 14% |
| Medicine and Dentistry | 2 | 6% |
| Neuroscience | 2 | 6% |
| Environmental Science | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 16 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 09 October 2023.
All research outputs
#8,282,983
of 24,784,213 outputs
Outputs from BMC Bioinformatics
#3,173
of 7,589 outputs
Outputs of similar age
#152,321
of 432,791 outputs
Outputs of similar age from BMC Bioinformatics
#48
of 149 outputs
Altmetric has tracked 24,784,213 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,589 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 50% 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 432,791 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 62% of its contemporaries.
We're also able to compare this research output to 149 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 66% of its contemporaries.