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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sex-Specific Patterns of Mortality Predictors Among Patients Undergoing Cardiac Resynchronization Therapy: A Machine Learning Approach
|
|---|---|
| Published in |
Frontiers in Cardiovascular Medicine, February 2021
|
| DOI | 10.3389/fcvm.2021.611055 |
| Pubmed ID | |
| Authors |
Márton Tokodi, Anett Behon, Eperke Dóra Merkel, Attila Kovács, Zoltán Tősér, András Sárkány, Máté Csákvári, Bálint Károly Lakatos, Walter Richard Schwertner, Annamária Kosztin, Béla Merkely |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| United States | 1 | 20% |
| South Africa | 1 | 20% |
| Switzerland | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 11 | 34% |
| Student > Ph. D. Student | 3 | 9% |
| Other | 2 | 6% |
| Student > Master | 2 | 6% |
| Librarian | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 9 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 11 | 34% |
| Computer Science | 4 | 13% |
| Medicine and Dentistry | 3 | 9% |
| Arts and Humanities | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 9 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 04 March 2021.
All research outputs
#7,652,800
of 23,577,761 outputs
Outputs from Frontiers in Cardiovascular Medicine
#1,274
of 7,440 outputs
Outputs of similar age
#166,133
of 419,569 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#63
of 286 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,440 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 82% 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 419,569 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 60% of its contemporaries.
We're also able to compare this research output to 286 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.