| Title |
A Multisensor Algorithm Predicts Heart Failure Events in Patients With Implanted Devices Results From the MultiSENSE Study
|
|---|---|
| Published in |
JACC: Heart Failure, March 2017
|
| DOI | 10.1016/j.jchf.2016.12.011 |
| Pubmed ID | |
| Authors |
John P. Boehmer, Ramesh Hariharan, Fausto G. Devecchi, Andrew L. Smith, Giulio Molon, Alessandro Capucci, Qi An, Viktoria Averina, Craig M. Stolen, Pramodsingh H. Thakur, Julie A. Thompson, Ramesh Wariar, Yi Zhang, Jagmeet P. Singh |
X Demographics
The data shown below were collected from the profiles of 50 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 States | 22 | 44% |
| United Kingdom | 3 | 6% |
| Hong Kong | 2 | 4% |
| Spain | 2 | 4% |
| Nigeria | 1 | 2% |
| Germany | 1 | 2% |
| Netherlands | 1 | 2% |
| Chile | 1 | 2% |
| Unknown | 17 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 39 | 78% |
| Practitioners (doctors, other healthcare professionals) | 8 | 16% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
| Scientists | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Netherlands | 1 | <1% |
| Unknown | 268 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 53 | 20% |
| Other | 37 | 14% |
| Student > Ph. D. Student | 22 | 8% |
| Student > Master | 14 | 5% |
| Student > Doctoral Student | 12 | 4% |
| Other | 38 | 14% |
| Unknown | 94 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 92 | 34% |
| Engineering | 20 | 7% |
| Computer Science | 10 | 4% |
| Nursing and Health Professions | 6 | 2% |
| Agricultural and Biological Sciences | 4 | 1% |
| Other | 27 | 10% |
| Unknown | 111 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 70. 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 05 December 2023.
All research outputs
#621,999
of 26,017,215 outputs
Outputs from JACC: Heart Failure
#163
of 1,621 outputs
Outputs of similar age
#12,890
of 328,652 outputs
Outputs of similar age from JACC: Heart Failure
#5
of 33 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.4. This one has done well, scoring higher than 89% 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 328,652 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 95% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.