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The multi-faceted usage patterns of nutrition apps: a survey on the appropriation of nutrition apps among German-speaking users of MyFitnessPal

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
73 Mendeley
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Title
The multi-faceted usage patterns of nutrition apps: a survey on the appropriation of nutrition apps among German-speaking users of MyFitnessPal
Published in
BMC Medical Informatics and Decision Making, October 2020
DOI 10.1186/s12911-020-01294-9
Pubmed ID
Authors

Paula Stehr, Veronika Karnowski, Constanze Rossmann

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 11%
Student > Ph. D. Student 6 8%
Student > Doctoral Student 6 8%
Lecturer > Senior Lecturer 5 7%
Student > Bachelor 4 5%
Other 13 18%
Unknown 31 42%
Readers by discipline Count As %
Nursing and Health Professions 8 11%
Psychology 6 8%
Medicine and Dentistry 6 8%
Computer Science 4 5%
Social Sciences 3 4%
Other 12 16%
Unknown 34 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 November 2020.
All research outputs
#5,775,417
of 23,128,387 outputs
Outputs from BMC Medical Informatics and Decision Making
#511
of 2,015 outputs
Outputs of similar age
#125,851
of 419,758 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#12
of 43 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,015 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 74% 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 419,758 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 69% of its contemporaries.
We're also able to compare this research output to 43 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 74% of its contemporaries.