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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, November 2020
|
| DOI | 10.1186/s12968-020-00678-0 |
| Pubmed ID | |
| Authors |
Saeed Karimi-Bidhendi, Arghavan Arafati, Andrew L. Cheng, Yilei Wu, Arash Kheradvar, Hamid Jafarkhani |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 40% |
| Egypt | 1 | 10% |
| Iran, Islamic Republic of | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 14% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Master | 9 | 13% |
| Lecturer | 5 | 7% |
| Student > Bachelor | 4 | 6% |
| Other | 7 | 10% |
| Unknown | 27 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 17% |
| Engineering | 10 | 14% |
| Computer Science | 8 | 11% |
| Business, Management and Accounting | 3 | 4% |
| Neuroscience | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 29 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 08 December 2020.
All research outputs
#5,511,110
of 25,628,260 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#386
of 1,385 outputs
Outputs of similar age
#139,831
of 524,574 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#8
of 21 outputs
Altmetric has tracked 25,628,260 research outputs across all sources so far. Compared to these this one has done well and is in the 78th 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 gotten more attention than average, scoring higher than 71% 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 524,574 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% 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 61% of its contemporaries.