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X Demographics
Mendeley readers
| Title |
Diagnosis and prognosis of abnormal cardiac scintigraphy uptake suggestive of cardiac amyloidosis using artificial intelligence: a retrospective, international, multicentre, cross-tracer development and validation study
|
|---|---|
| Published in |
The Lancet Digital Health, April 2024
|
| DOI | 10.1016/s2589-7500(23)00265-0 |
| Pubmed ID | |
| Authors |
Clemens P Spielvogel, David Haberl, Katharina Mascherbauer, Jing Ning, Kilian Kluge, Tatjana Traub-Weidinger, Rhodri H Davies, Iain Pierce, Kush Patel, Thomas Nakuz, Adelina Göllner, Dominik Amereller, Maria Starace, Alice Monaci, Michael Weber, Xiang Li, Alexander R Haug, Raffaella Calabretta, Xiaowei Ma, Min Zhao, Julia Mascherbauer, Andreas Kammerlander, Christian Hengstenberg, Leon J Menezes, Roberto Sciagra, Thomas A Treibel, Marcus Hacker, Christian Nitsche |
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% |
| Brazil | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 60% |
| Student > Ph. D. Student | 1 | 20% |
| Student > Bachelor | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 60% |
| Computer Science | 1 | 20% |
| Physics and Astronomy | 1 | 20% |