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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methods
|
|---|---|
| Published in |
BMC Bioinformatics, November 2019
|
| DOI | 10.1186/s12859-019-2953-8 |
| Pubmed ID | |
| Authors |
Damiano Verda, Stefano Parodi, Enrico Ferrari, Marco Muselli |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 27% |
| Researcher | 5 | 19% |
| Student > Bachelor | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Lecturer | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 19% |
| Engineering | 5 | 19% |
| Medicine and Dentistry | 5 | 19% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Mathematics | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 6 | 23% |
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 23 November 2019.
All research outputs
#20,592,137
of 23,177,498 outputs
Outputs from BMC Bioinformatics
#6,919
of 7,344 outputs
Outputs of similar age
#383,329
of 457,695 outputs
Outputs of similar age from BMC Bioinformatics
#211
of 235 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,344 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 1st percentile – i.e., 1% 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 457,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 235 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.