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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Explainable artificial intelligence for precision medicine in acute myeloid leukemia
|
|---|---|
| Published in |
Frontiers in immunology, September 2022
|
| DOI | 10.3389/fimmu.2022.977358 |
| Pubmed ID | |
| Authors |
Marian Gimeno, Edurne San José-Enériz, Sara Villar, Xabier Agirre, Felipe Prosper, Angel Rubio, Fernando Carazo |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Other | 2 | 5% |
| Professor | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 23 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 13% |
| Engineering | 3 | 8% |
| Business, Management and Accounting | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 24 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 October 2022.
All research outputs
#16,737,737
of 25,392,582 outputs
Outputs from Frontiers in immunology
#18,355
of 31,549 outputs
Outputs of similar age
#237,465
of 436,892 outputs
Outputs of similar age from Frontiers in immunology
#1,076
of 1,966 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,549 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 36th percentile – i.e., 36% 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 436,892 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,966 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.