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The efficacy of mobile phone-based text message interventions (‘Happy Quit’) for smoking cessation in China

Overview of attention for article published in BMC Public Health, August 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
232 Mendeley
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Title
The efficacy of mobile phone-based text message interventions (‘Happy Quit’) for smoking cessation in China
Published in
BMC Public Health, August 2016
DOI 10.1186/s12889-016-3528-5
Pubmed ID
Authors

Yanhui Liao, Qiuxia Wu, Jinsong Tang, Fengyu Zhang, Xuyi Wang, Chang Qi, Haoyu He, Jiang Long, Brian C Kelly, Joanna Cohen

Mendeley readers

The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Canada 1 <1%
Unknown 230 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 17%
Student > Ph. D. Student 37 16%
Researcher 29 13%
Student > Bachelor 26 11%
Other 12 5%
Other 30 13%
Unknown 59 25%
Readers by discipline Count As %
Psychology 46 20%
Medicine and Dentistry 41 18%
Nursing and Health Professions 20 9%
Computer Science 14 6%
Social Sciences 8 3%
Other 29 13%
Unknown 74 32%

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 01 October 2020.
All research outputs
#6,174,496
of 18,999,792 outputs
Outputs from BMC Public Health
#6,657
of 12,567 outputs
Outputs of similar age
#176,502
of 440,995 outputs
Outputs of similar age from BMC Public Health
#607
of 1,229 outputs
Altmetric has tracked 18,999,792 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,567 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 42nd percentile – i.e., 42% 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 440,995 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 58% of its contemporaries.
We're also able to compare this research output to 1,229 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 50% of its contemporaries.