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Mendeley readers
Attention Score in Context
| Title |
Implementing a free school-based fruit and vegetable programme: barriers and facilitators experienced by pupils, teachers and produce suppliers in the Boost study
|
|---|---|
| Published in |
BMC Public Health, February 2014
|
| DOI | 10.1186/1471-2458-14-146 |
| Pubmed ID | |
| Authors |
Anne Kristine Aarestrup, Rikke Krølner, Thea Suldrup Jørgensen, Alexandra Evans, Pernille Due, Tine Tjørnhøj-Thomsen |
| Abstract |
Multi-component interventions which combine educational and environmental strategies appear to be most effective in increasing fruit and vegetable (FV) intake in adolescents. However, multi-component interventions are complex to implement and often poorly implemented. Identification of barriers and facilitators for implementation is warranted to improve future interventions.This study aimed to explore implementation of two intervention components which addressed availability and accessibility of FV in the multi-component, school-based Boost study which targeted FV intake among Danish 13-year-olds and to identify barriers and facilitators for implementation among pupils, teachers and FV suppliers. |
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 % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Unknown | 86 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 21% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Bachelor | 9 | 10% |
| Researcher | 9 | 10% |
| Student > Doctoral Student | 6 | 7% |
| Other | 14 | 16% |
| Unknown | 21 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 18 | 21% |
| Medicine and Dentistry | 14 | 16% |
| Nursing and Health Professions | 14 | 16% |
| Social Sciences | 8 | 9% |
| Computer Science | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 24 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 July 2021.
All research outputs
#7,613,651
of 24,975,845 outputs
Outputs from BMC Public Health
#8,039
of 16,631 outputs
Outputs of similar age
#87,917
of 325,883 outputs
Outputs of similar age from BMC Public Health
#112
of 259 outputs
Altmetric has tracked 24,975,845 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 16,631 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 50% 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 325,883 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 259 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 56% of its contemporaries.