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QuitSMART Utah: an implementation study protocol for a cluster-randomized, multi-level Sequential Multiple Assignment Randomized Trial to increase Reach and Impact of tobacco cessation treatment in…

Overview of attention for article published in Implementation Science, January 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
42 Mendeley
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Title
QuitSMART Utah: an implementation study protocol for a cluster-randomized, multi-level Sequential Multiple Assignment Randomized Trial to increase Reach and Impact of tobacco cessation treatment in Community Health Centers
Published in
Implementation Science, January 2020
DOI 10.1186/s13012-020-0967-2
Pubmed ID
Authors

Maria E. Fernandez, Chelsey R. Schlechter, Guilherme Del Fiol, Bryan Gibson, Kensaku Kawamoto, Tracey Siaperas, Alan Pruhs, Tom Greene, Inbal Nahum-Shani, Sandra Schulthies, Marci Nelson, Claudia Bohner, Heidi Kramer, Damian Borbolla, Sharon Austin, Charlene Weir, Timothy W. Walker, Cho Y. Lam, David W. Wetter

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Student > Ph. D. Student 6 14%
Student > Master 4 10%
Student > Bachelor 4 10%
Other 3 7%
Other 8 19%
Unknown 8 19%
Readers by discipline Count As %
Nursing and Health Professions 7 17%
Medicine and Dentistry 5 12%
Social Sciences 3 7%
Psychology 3 7%
Agricultural and Biological Sciences 2 5%
Other 10 24%
Unknown 12 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 February 2021.
All research outputs
#5,156,387
of 18,468,417 outputs
Outputs from Implementation Science
#1,024
of 1,612 outputs
Outputs of similar age
#113,336
of 346,118 outputs
Outputs of similar age from Implementation Science
#1
of 1 outputs
Altmetric has tracked 18,468,417 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one is in the 35th percentile – i.e., 35% 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 346,118 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 67% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them