↓ Skip to main content

The Swedish version of the Normalization Process Theory Measure S-NoMAD: translation, adaptation, and pilot testing

Overview of attention for article published in Implementation Science, December 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
11 X users

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
86 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The Swedish version of the Normalization Process Theory Measure S-NoMAD: translation, adaptation, and pilot testing
Published in
Implementation Science, December 2018
DOI 10.1186/s13012-018-0835-5
Pubmed ID
Authors

Marie Elf, Sofi Nordmark, Johan Lyhagen, Inger Lindberg, Tracy Finch, Anna Cristina Åberg

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Researcher 15 17%
Student > Master 7 8%
Other 4 5%
Student > Bachelor 4 5%
Other 14 16%
Unknown 23 27%
Readers by discipline Count As %
Medicine and Dentistry 14 16%
Nursing and Health Professions 13 15%
Psychology 8 9%
Social Sciences 5 6%
Environmental Science 4 5%
Other 15 17%
Unknown 27 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 December 2018.
All research outputs
#4,519,148
of 23,117,738 outputs
Outputs from Implementation Science
#868
of 1,726 outputs
Outputs of similar age
#101,215
of 437,203 outputs
Outputs of similar age from Implementation Science
#23
of 33 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,726 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 49th percentile – i.e., 49% 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 437,203 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 76% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.