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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Longitudinal Algorithms to Estimate Cardiorespiratory Fitness Associations With Nonfatal Cardiovascular Disease and Disease-Specific Mortality
|
|---|---|
| Published in |
JACC, April 2014
|
| DOI | 10.1016/j.jacc.2014.03.008 |
| Pubmed ID | |
| Authors |
Enrique G. Artero, Andrew S. Jackson, Xuemei Sui, Duck-chul Lee, Daniel P. O’Connor, Carl J. Lavie, Timothy S. Church, Steven N. Blair |
| Abstract |
This study sought to determine the capacity of cardiorespiratory fitness (CRF) algorithms without exercise testing to predict the risk for nonfatal cardiovascular disease (CVD) events and disease-specific mortality. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Japan | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 87 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 13% |
| Student > Postgraduate | 10 | 11% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 10 | 11% |
| Student > Doctoral Student | 8 | 9% |
| Other | 25 | 27% |
| Unknown | 16 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 27% |
| Sports and Recreations | 18 | 20% |
| Nursing and Health Professions | 6 | 7% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 11 | 12% |
| Unknown | 22 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 07 August 2014.
All research outputs
#3,117,554
of 25,604,262 outputs
Outputs from JACC
#5,696
of 16,776 outputs
Outputs of similar age
#29,987
of 239,228 outputs
Outputs of similar age from JACC
#60
of 235 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,776 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.2. This one has gotten more attention than average, scoring higher than 65% 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 239,228 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 235 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 74% of its contemporaries.