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Models for Access to Maternal Smoking cessation Support (MAMSS): a study protocol of a quasi-experiment to increase the engagement of pregnant women who smoke in NHS Stop Smoking Services

Overview of attention for article published in BMC Public Health, October 2014
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Mentioned by

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2 tweeters

Citations

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5 Dimensions

Readers on

mendeley
56 Mendeley
Title
Models for Access to Maternal Smoking cessation Support (MAMSS): a study protocol of a quasi-experiment to increase the engagement of pregnant women who smoke in NHS Stop Smoking Services
Published in
BMC Public Health, October 2014
DOI 10.1186/1471-2458-14-1041
Pubmed ID
Authors

Lorna Bennett, Aimee Grant, Siobhan Jones, Mererid Bowley, Christian Heathcote-Elliott, Catrin Ford, Angela Jones, Rachel Lewis, Margaret Munkley, Carol Owen, Annie Petherick, Shantini Paranjothy

Abstract

Maternal smoking is a key cause of poor outcomes for mothers, babies and children and Wales has higher rates of smoking in pregnancy than any other UK country. Despite various improvements within the NHS Stop Smoking Service to strengthen the intervention for pregnant women, referrals and successful quit attempts for this group have continued to remain extremely low. A key element of UK national guidance for smoking cessation during pregnancy is to provide a flexible and tailored service to help increase levels of engagement. This study aims to test the effectiveness of three different models of service delivery to address the gap in the evidence base about how to deliver a flexible, tailored smoking cessation service to pregnant women.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Master 7 13%
Student > Doctoral Student 6 11%
Student > Bachelor 5 9%
Student > Postgraduate 4 7%
Other 10 18%
Unknown 14 25%
Readers by discipline Count As %
Medicine and Dentistry 18 32%
Nursing and Health Professions 9 16%
Social Sciences 6 11%
Agricultural and Biological Sciences 4 7%
Economics, Econometrics and Finance 2 4%
Other 4 7%
Unknown 13 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 October 2014.
All research outputs
#8,623,036
of 13,745,838 outputs
Outputs from BMC Public Health
#7,083
of 9,476 outputs
Outputs of similar age
#107,801
of 211,904 outputs
Outputs of similar age from BMC Public Health
#1
of 1 outputs
Altmetric has tracked 13,745,838 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,476 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 17th percentile – i.e., 17% 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 211,904 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
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