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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, December 2020
|
| DOI | 10.1186/s12968-020-00690-4 |
| Pubmed ID | |
| Authors |
Nicola Martini, Alberto Aimo, Andrea Barison, Daniele Della Latta, Giuseppe Vergaro, Giovanni Donato Aquaro, Andrea Ripoli, Michele Emdin, Dante Chiappino |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 22% |
| United States | 2 | 22% |
| Russia | 1 | 11% |
| Egypt | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 15% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 3 | 4% |
| Other | 12 | 18% |
| Unknown | 25 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 24% |
| Computer Science | 6 | 9% |
| Engineering | 4 | 6% |
| Neuroscience | 3 | 4% |
| Nursing and Health Professions | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 29 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 January 2024.
All research outputs
#4,602,604
of 25,658,139 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#283
of 1,385 outputs
Outputs of similar age
#114,815
of 526,095 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#6
of 21 outputs
Altmetric has tracked 25,658,139 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,385 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 79% 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 526,095 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 21 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 71% of its contemporaries.