| Title |
Precision Health Analytics With Predictive Analytics and Implementation Research JACC State-of-the-Art Review
|
|---|---|
| Published in |
JACC, July 2020
|
| DOI | 10.1016/j.jacc.2020.05.043 |
| Pubmed ID | |
| Authors |
Thomas A. Pearson, Robert M. Califf, Rebecca Roper, Michael M. Engelgau, Muin J. Khoury, Carmela Alcantara, Craig Blakely, Cheryl Anne Boyce, Marishka Brown, Thomas L. Croxton, Kathleen Fenton, Melissa C. Green Parker, Andrew Hamilton, Lorens Helmchen, Lucy L. Hsu, David M. Kent, Amy Kind, John Kravitz, George John Papanicolaou, Mattia Prosperi, Matt Quinn, LeShawndra N. Price, Paula K. Shireman, Sharon M. Smith, Rhonda Szczesniak, David Calvin Goff, George A. Mensah |
X Demographics
The data shown below were collected from the profiles of 40 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 | 16 | 40% |
| Spain | 3 | 8% |
| Brazil | 2 | 5% |
| France | 1 | 3% |
| South Africa | 1 | 3% |
| United Kingdom | 1 | 3% |
| Ireland | 1 | 3% |
| Italy | 1 | 3% |
| Kazakhstan | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 55% |
| Scientists | 11 | 28% |
| Practitioners (doctors, other healthcare professionals) | 5 | 13% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 11% |
| Student > Master | 11 | 11% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 6 | 6% |
| Professor | 5 | 5% |
| Other | 13 | 13% |
| Unknown | 47 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 14% |
| Nursing and Health Professions | 9 | 9% |
| Computer Science | 6 | 6% |
| Engineering | 4 | 4% |
| Economics, Econometrics and Finance | 4 | 4% |
| Other | 14 | 14% |
| Unknown | 51 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 30 November 2022.
All research outputs
#1,341,160
of 25,387,668 outputs
Outputs from JACC
#3,182
of 16,743 outputs
Outputs of similar age
#38,739
of 432,368 outputs
Outputs of similar age from JACC
#96
of 253 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,743 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has done well, scoring higher than 81% 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 432,368 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 91% of its contemporaries.
We're also able to compare this research output to 253 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 62% of its contemporaries.