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Conceptual model for dietary behaviour change at household level: a ‘best-fit’ qualitative study using primary data

Overview of attention for article published in BMC Public Health, June 2014
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

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4 X users

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124 Mendeley
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Title
Conceptual model for dietary behaviour change at household level: a ‘best-fit’ qualitative study using primary data
Published in
BMC Public Health, June 2014
DOI 10.1186/1471-2458-14-574
Pubmed ID
Authors

Meena Daivadanam, Rolf Wahlström, TK Sundari Ravindran, KR Thankappan, Mala Ramanathan

Abstract

Interventions having a strong theoretical basis are more efficacious, providing a strong argument for incorporating theory into intervention planning. The objective of this study was to develop a conceptual model to facilitate the planning of dietary intervention strategies at the household level in rural Kerala.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 19%
Student > Ph. D. Student 21 17%
Student > Bachelor 13 10%
Researcher 12 10%
Lecturer > Senior Lecturer 5 4%
Other 22 18%
Unknown 28 23%
Readers by discipline Count As %
Medicine and Dentistry 26 21%
Social Sciences 18 15%
Nursing and Health Professions 15 12%
Agricultural and Biological Sciences 7 6%
Psychology 6 5%
Other 17 14%
Unknown 35 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 29 October 2014.
All research outputs
#12,607,737
of 22,757,090 outputs
Outputs from BMC Public Health
#8,582
of 14,832 outputs
Outputs of similar age
#102,762
of 228,827 outputs
Outputs of similar age from BMC Public Health
#155
of 283 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,832 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 41st percentile – i.e., 41% 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 228,827 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 54% of its contemporaries.
We're also able to compare this research output to 283 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.