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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Which practice characteristics are associated with the quality of cardiovascular disease prevention in European primary care?
|
|---|---|
| Published in |
Implementation Science, March 2013
|
| DOI | 10.1186/1748-5908-8-27 |
| Pubmed ID | |
| Authors |
Sabine Ludt, Stephen M Campbell, Davorina Petek, Justine Rochon, Joachim Szecsenyi, Jan van Lieshout, Michel Wensing, Dominik Ose |
| Abstract |
Prevention of cardiovascular diseases (CVD) is a major health issue worldwide. Primary care plays an important role in cardiovascular risk management (CVRM). Guidelines and quality of care measures to assess CVRM in primary care practices are available. In this study, we assessed the relationship between structural and organisational practice characteristics and the quality of care provided in individuals at high risk for developing CVD in European primary care. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 63 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Researcher | 11 | 17% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 7 | 11% |
| Student > Bachelor | 5 | 8% |
| Other | 14 | 22% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 35% |
| Nursing and Health Professions | 6 | 9% |
| Social Sciences | 6 | 9% |
| Computer Science | 5 | 8% |
| Psychology | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 12 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 March 2013.
All research outputs
#13,379,406
of 22,699,621 outputs
Outputs from Implementation Science
#1,411
of 1,719 outputs
Outputs of similar age
#105,053
of 195,385 outputs
Outputs of similar age from Implementation Science
#37
of 42 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,719 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 15th percentile – i.e., 15% 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 195,385 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.