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Dove Medical Press

Smoking cessation support for pregnant women: role of mobile technology

Overview of attention for article published in Substance abuse and rehabilitation, April 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

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4 X users
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1 Facebook page

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65 Mendeley
Title
Smoking cessation support for pregnant women: role of mobile technology
Published in
Substance abuse and rehabilitation, April 2016
DOI 10.2147/sar.s84239
Pubmed ID
Authors

Christina L Heminger, Jennifer M Schindler-Ruwisch, Lorien C Abroms

Abstract

Smoking during pregnancy has deleterious health effects for the fetus and mother. Given the high risks associated with smoking in pregnancy, smoking cessation programs that are designed specifically for pregnant smokers are needed. This paper summarizes the current landscape of mHealth cessation programs aimed at pregnant smokers and where available reviews evidence to support their use. A search strategy was conducted in June-August 2015 to identify mHealth programs with at least one component or activity that was explicitly directed at smoking cessation assistance for pregnant women. The search for text messaging programs and applications included keyword searches within public health and medical databases of peer-reviewed literature, Google Play/iTunes stores, and gray literature via Google. Five unique short message service programs and two mobile applications were identified and reviewed. Little evidence was identified to support their use. Common tools and features identified included the ability to set your quit date, ability to track smoking status, ability to get help during cravings, referral to quitline, and tailored content for the individual participant. The theoretical approach utilized was varied, and approximately half of the programs included pregnancy-related content, in addition to cessation content. With one exception, the mHealth programs identified were found to have low enrollment. Globally, there are a handful of applications and text-based mHealth programs available for pregnant smokers. Future studies are needed that examine the efficacy of such programs, as well as strategies to best promote enrollment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Romania 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 14%
Student > Bachelor 8 12%
Other 6 9%
Student > Doctoral Student 6 9%
Student > Master 6 9%
Other 13 20%
Unknown 17 26%
Readers by discipline Count As %
Medicine and Dentistry 13 20%
Nursing and Health Professions 7 11%
Social Sciences 7 11%
Psychology 6 9%
Computer Science 3 5%
Other 4 6%
Unknown 25 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 April 2016.
All research outputs
#8,340,711
of 25,576,275 outputs
Outputs from Substance abuse and rehabilitation
#73
of 126 outputs
Outputs of similar age
#110,932
of 315,173 outputs
Outputs of similar age from Substance abuse and rehabilitation
#5
of 5 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 126 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.8. This one is in the 41st percentile – i.e., 41% 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 315,173 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 63% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.