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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated analysis of cardiovascular magnetic resonance myocardial native T1 mapping images using fully convolutional neural networks
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, January 2019
|
| DOI | 10.1186/s12968-018-0516-1 |
| Pubmed ID | |
| Authors |
Ahmed S. Fahmy, Hossam El-Rewaidy, Maryam Nezafat, Shiro Nakamori, Reza Nezafat |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 3 | 27% |
| Cyprus | 1 | 9% |
| Germany | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Science communicators (journalists, bloggers, editors) | 2 | 18% |
| Scientists | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 20% |
| Student > Ph. D. Student | 15 | 15% |
| Student > Bachelor | 9 | 9% |
| Student > Master | 7 | 7% |
| Other | 7 | 7% |
| Other | 14 | 14% |
| Unknown | 30 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 21% |
| Engineering | 17 | 17% |
| Computer Science | 13 | 13% |
| Unspecified | 2 | 2% |
| Physics and Astronomy | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 40 | 39% |
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 06 February 2019.
All research outputs
#5,246,396
of 25,523,622 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#344
of 1,379 outputs
Outputs of similar age
#112,212
of 447,450 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#13
of 26 outputs
Altmetric has tracked 25,523,622 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,379 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 74% 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 447,450 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 74% of its contemporaries.
We're also able to compare this research output to 26 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 50% of its contemporaries.