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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genes selection using deep learning and explainable artificial intelligence for chronic lymphocytic leukemia predicting the need and time to therapy
|
|---|---|
| Published in |
Frontiers in oncology, August 2023
|
| DOI | 10.3389/fonc.2023.1198992 |
| Pubmed ID | |
| Authors |
Fortunato Morabito, Carlo Adornetto, Paola Monti, Adriana Amaro, Francesco Reggiani, Monica Colombo, Yissel Rodriguez-Aldana, Giovanni Tripepi, Graziella D’Arrigo, Claudia Vener, Federica Torricelli, Teresa Rossi, Antonino Neri, Manlio Ferrarini, Giovanna Cutrona, Massimo Gentile, Gianluigi Greco |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 14% |
| Unspecified | 2 | 10% |
| Professor > Associate Professor | 2 | 10% |
| Other | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 10% |
| Agricultural and Biological Sciences | 2 | 10% |
| Nursing and Health Professions | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 13 | 62% |
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 07 September 2023.
All research outputs
#23,514,286
of 26,180,352 outputs
Outputs from Frontiers in oncology
#16,431
of 22,922 outputs
Outputs of similar age
#304,092
of 362,073 outputs
Outputs of similar age from Frontiers in oncology
#779
of 991 outputs
Altmetric has tracked 26,180,352 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 22,922 research outputs from this source. They receive a mean Attention Score of 3.1. 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 362,073 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 991 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.