The data shown below were collected from the profiles of 2 X users 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 |
Analyzing breast cancer invasive disease event classification through explainable artificial intelligence
|
|---|---|
| Published in |
Frontiers in Medicine, February 2023
|
| DOI | 10.3389/fmed.2023.1116354 |
| Pubmed ID | |
| Authors |
Raffaella Massafra, Annarita Fanizzi, Nicola Amoroso, Samantha Bove, Maria Colomba Comes, Domenico Pomarico, Vittorio Didonna, Sergio Diotaiuti, Luisa Galati, Francesco Giotta, Daniele La Forgia, Agnese Latorre, Angela Lombardi, Annalisa Nardone, Maria Irene Pastena, Cosmo Maurizio Ressa, Lucia Rinaldi, Pasquale Tamborra, Alfredo Zito, Angelo Virgilio Paradiso, Roberto Bellotti, Vito Lorusso |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 12% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Master | 4 | 9% |
| Other | 2 | 5% |
| Student > Doctoral Student | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 23 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 12% |
| Engineering | 4 | 9% |
| Agricultural and Biological Sciences | 2 | 5% |
| Business, Management and Accounting | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 25 | 58% |
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 03 February 2023.
All research outputs
#17,257,456
of 26,310,456 outputs
Outputs from Frontiers in Medicine
#3,634
of 7,481 outputs
Outputs of similar age
#260,452
of 488,473 outputs
Outputs of similar age from Frontiers in Medicine
#187
of 401 outputs
Altmetric has tracked 26,310,456 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. 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 488,473 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 401 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 52% of its contemporaries.