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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using Digital Health Technology to Better Generate Evidence and Deliver Evidence-Based Care
|
|---|---|
| Published in |
JACC, June 2018
|
| DOI | 10.1016/j.jacc.2018.03.523 |
| Pubmed ID | |
| Authors |
Abhinav Sharma, Robert A. Harrington, Mark B. McClellan, Mintu P. Turakhia, Zubin J. Eapen, Steven Steinhubl, James R. Mault, Maulik D. Majmudar, Lothar Roessig, Karen J. Chandross, Eric M. Green, Bakul Patel, Andrew Hamer, Jeffrey Olgin, John S. Rumsfeld, Matthew T. Roe, Eric D. Peterson |
X Demographics
The data shown below were collected from the profiles of 25 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 | 8 | 32% |
| Saudi Arabia | 1 | 4% |
| Netherlands | 1 | 4% |
| France | 1 | 4% |
| Belgium | 1 | 4% |
| Australia | 1 | 4% |
| Romania | 1 | 4% |
| Austria | 1 | 4% |
| Unknown | 10 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 64% |
| Scientists | 7 | 28% |
| Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 513 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 513 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 65 | 13% |
| Student > Ph. D. Student | 46 | 9% |
| Student > Bachelor | 43 | 8% |
| Researcher | 35 | 7% |
| Other | 26 | 5% |
| Other | 97 | 19% |
| Unknown | 201 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 66 | 13% |
| Nursing and Health Professions | 40 | 8% |
| Computer Science | 37 | 7% |
| Business, Management and Accounting | 31 | 6% |
| Engineering | 25 | 5% |
| Other | 90 | 18% |
| Unknown | 224 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 03 September 2022.
All research outputs
#1,036,524
of 25,837,817 outputs
Outputs from JACC
#2,552
of 17,045 outputs
Outputs of similar age
#22,142
of 345,678 outputs
Outputs of similar age from JACC
#70
of 188 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,045 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 84% 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 345,678 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 93% of its contemporaries.
We're also able to compare this research output to 188 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.