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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using web-based familial risk information for diabetes prevention: a randomized controlled trial
|
|---|---|
| Published in |
BMC Public Health, May 2013
|
| DOI | 10.1186/1471-2458-13-485 |
| Pubmed ID | |
| Authors |
Miranda Wijdenes, Lidewij Henneman, Nadeem Qureshi, Piet J Kostense, Martina C Cornel, Danielle RM Timmermans |
| Abstract |
It has been suggested that family history information may be effective in motivating people to adopt health promoting behaviour. The aim was to determine if diabetic familial risk information by using a web-based tool leads to improved self-reported risk-reducing behaviour among individuals with a diabetic family history, without causing false reassurance among those without a family history. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 2 | 18% |
| Netherlands | 2 | 18% |
| United Kingdom | 2 | 18% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| Rwanda | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 105 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 22 | 20% |
| Student > Master | 18 | 17% |
| Researcher | 10 | 9% |
| Student > Doctoral Student | 10 | 9% |
| Student > Ph. D. Student | 9 | 8% |
| Other | 13 | 12% |
| Unknown | 26 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 21% |
| Nursing and Health Professions | 17 | 16% |
| Psychology | 8 | 7% |
| Social Sciences | 6 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Other | 20 | 19% |
| Unknown | 30 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 25 May 2013.
All research outputs
#4,041,707
of 22,710,079 outputs
Outputs from BMC Public Health
#4,493
of 14,784 outputs
Outputs of similar age
#35,229
of 196,382 outputs
Outputs of similar age from BMC Public Health
#66
of 289 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,784 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 69% 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 196,382 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 82% of its contemporaries.
We're also able to compare this research output to 289 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.