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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with uncertainty-based quality-control
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, August 2020
|
| DOI | 10.1186/s12968-020-00650-y |
| Pubmed ID | |
| Authors |
Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Pier-Giorgio Masci, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King |
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 Kingdom | 3 | 30% |
| Germany | 1 | 10% |
| Netherlands | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Practitioners (doctors, other healthcare professionals) | 2 | 20% |
| Scientists | 1 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 27% |
| Researcher | 8 | 12% |
| Student > Master | 8 | 12% |
| Student > Postgraduate | 7 | 11% |
| Other | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 17 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 23% |
| Engineering | 10 | 15% |
| Computer Science | 8 | 12% |
| Physics and Astronomy | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 25 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 September 2020.
All research outputs
#7,088,626
of 25,728,855 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#510
of 1,386 outputs
Outputs of similar age
#146,422
of 427,389 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#11
of 22 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,386 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 62% 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 427,389 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 65% of its contemporaries.
We're also able to compare this research output to 22 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.