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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating complex interventions and health technologies using normalization process theory: development of a simplified approach and web-enabled toolkit
|
|---|---|
| Published in |
BMC Health Services Research, September 2011
|
| DOI | 10.1186/1472-6963-11-245 |
| Pubmed ID | |
| Authors |
Carl R May, Tracy Finch, Luciana Ballini, Anne MacFarlane, Frances Mair, Elizabeth Murray, Shaun Treweek, Tim Rapley |
| Abstract |
Normalization Process Theory (NPT) can be used to explain implementation processes in health care relating to new technologies and complex interventions. This paper describes the processes by which we developed a simplified version of NPT for use by clinicians, managers, and policy makers, and which could be embedded in a web-enabled toolkit and on-line users manual. |
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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 9 | 3% |
| United States | 2 | <1% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| Kenya | 1 | <1% |
| Portugal | 1 | <1% |
| Australia | 1 | <1% |
| Colombia | 1 | <1% |
| Argentina | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 246 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 59 | 22% |
| Student > Ph. D. Student | 44 | 17% |
| Student > Master | 30 | 11% |
| Student > Doctoral Student | 15 | 6% |
| Other | 13 | 5% |
| Other | 53 | 20% |
| Unknown | 51 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 66 | 25% |
| Social Sciences | 41 | 15% |
| Nursing and Health Professions | 30 | 11% |
| Psychology | 20 | 8% |
| Business, Management and Accounting | 15 | 6% |
| Other | 30 | 11% |
| Unknown | 63 | 24% |
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 05 October 2011.
All research outputs
#13,355,173
of 22,653,392 outputs
Outputs from BMC Health Services Research
#4,587
of 7,570 outputs
Outputs of similar age
#82,240
of 131,667 outputs
Outputs of similar age from BMC Health Services Research
#48
of 93 outputs
Altmetric has tracked 22,653,392 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 7,570 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 37th percentile – i.e., 37% 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 131,667 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.