You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning Prediction of Cardiac Resynchronisation Therapy Response From Combination of Clinical and Model-Driven Data
|
|---|---|
| Published in |
Frontiers in Physiology, December 2021
|
| DOI | 10.3389/fphys.2021.753282 |
| Pubmed ID | |
| Authors |
Svyatoslav Khamzin, Arsenii Dokuchaev, Anastasia Bazhutina, Tatiana Chumarnaya, Stepan Zubarev, Tamara Lyubimtseva, Viktoria Lebedeva, Dmitry Lebedev, Viatcheslav Gurev, Olga Solovyova |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 18% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Researcher | 3 | 9% |
| Other | 2 | 6% |
| Unknown | 14 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 12% |
| Computer Science | 4 | 12% |
| Agricultural and Biological Sciences | 3 | 9% |
| Engineering | 3 | 9% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 17 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 December 2021.
All research outputs
#20,178,031
of 22,691,736 outputs
Outputs from Frontiers in Physiology
#9,283
of 13,486 outputs
Outputs of similar age
#405,488
of 496,018 outputs
Outputs of similar age from Frontiers in Physiology
#433
of 662 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,486 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 496,018 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 662 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.