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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 (71st percentile)

Mentioned by

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7 X users

Citations

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20 Dimensions

Readers on

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93 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

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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 15%
Student > Ph. D. Student 8 9%
Student > Bachelor 7 8%
Student > Doctoral Student 6 6%
Student > Master 6 6%
Other 16 17%
Unknown 36 39%
Readers by discipline Count As %
Nursing and Health Professions 11 12%
Medicine and Dentistry 9 10%
Psychology 6 6%
Agricultural and Biological Sciences 4 4%
Social Sciences 4 4%
Other 17 18%
Unknown 42 45%
Attention Score in Context

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 07 November 2022.
All research outputs
#6,232,378
of 23,577,654 outputs
Outputs from Implementation Science
#1,034
of 1,728 outputs
Outputs of similar age
#130,314
of 454,171 outputs
Outputs of similar age from Implementation Science
#19
of 23 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,728 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 39th percentile – i.e., 39% 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 454,171 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 71% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.