| Title |
Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score
|
|---|---|
| Published in |
European Heart Journal, January 2020
|
| DOI | 10.1093/eurheartj/ehz902 |
| Pubmed ID | |
| Authors |
Márton Tokodi, Walter Richard Schwertner, Attila Kovács, Zoltán Tősér, Levente Staub, András Sárkány, Bálint Károly Lakatos, Anett Behon, András Mihály Boros, Péter Perge, Valentina Kutyifa, Gábor Széplaki, László Gellér, Béla Merkely, Annamária Kosztin |
X Demographics
The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 7 | 20% |
| Germany | 3 | 9% |
| France | 3 | 9% |
| United States | 2 | 6% |
| Argentina | 1 | 3% |
| United Kingdom | 1 | 3% |
| Spain | 1 | 3% |
| India | 1 | 3% |
| Kazakhstan | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 11 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 60% |
| Scientists | 7 | 20% |
| Science communicators (journalists, bloggers, editors) | 4 | 11% |
| Practitioners (doctors, other healthcare professionals) | 3 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 19% |
| Student > Master | 11 | 11% |
| Researcher | 9 | 9% |
| Student > Bachelor | 7 | 7% |
| Other | 7 | 7% |
| Other | 18 | 19% |
| Unknown | 26 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 32% |
| Computer Science | 15 | 16% |
| Engineering | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 30 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 22 May 2021.
All research outputs
#1,030,846
of 25,403,829 outputs
Outputs from European Heart Journal
#1,638
of 11,057 outputs
Outputs of similar age
#25,318
of 473,866 outputs
Outputs of similar age from European Heart Journal
#56
of 210 outputs
Altmetric has tracked 25,403,829 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,057 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.6. This one has done well, scoring higher than 85% 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 473,866 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 210 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 73% of its contemporaries.