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The Role of Text Messaging in Cardiovascular Risk Factor Optimization

Overview of attention for article published in Current Cardiology Reports, January 2017
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1 X user

Citations

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71 Mendeley
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Title
The Role of Text Messaging in Cardiovascular Risk Factor Optimization
Published in
Current Cardiology Reports, January 2017
DOI 10.1007/s11886-017-0811-8
Pubmed ID
Authors

Harry Klimis, Mohammad Ehsan Khan, Cindy Kok, Clara K. Chow

Abstract

Many cases of CVD may be avoidable through lowering behavioural risk factors such as smoking and physical inactivity. Mobile health (mHealth) provides a novel opportunity to deliver cardiovascular prevention programs in a format that is potentially scalable. Here, we provide an overview of text messaging-based mHealth interventions in cardiovascular prevention. Text messaging-based interventions appear effective on a range of behavioural risk factors and can effect change on multiple risk factors-e.g. smoking, weight, blood pressure-simultaneously. For many texting studies, there are challenges in interpretation as many texting interventions are part of larger complex interventions making it difficult to determine the benefits of the separate components. Whilst there is evidence for text messaging improving cardiovascular risk factor levels in the short-term, future studies are needed to examine the durability of these effects and whether they can be translated to improvements in clinical care and outcomes.

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The data shown below were collected from the profile of 1 X user 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 15%
Student > Ph. D. Student 10 14%
Other 7 10%
Student > Bachelor 7 10%
Student > Master 6 8%
Other 9 13%
Unknown 21 30%
Readers by discipline Count As %
Medicine and Dentistry 13 18%
Psychology 8 11%
Computer Science 7 10%
Nursing and Health Professions 4 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 8 11%
Unknown 28 39%
Attention Score in Context

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 17 February 2017.
All research outputs
#18,531,724
of 22,953,506 outputs
Outputs from Current Cardiology Reports
#746
of 1,001 outputs
Outputs of similar age
#308,668
of 417,743 outputs
Outputs of similar age from Current Cardiology Reports
#6
of 10 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,001 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 9th percentile – i.e., 9% 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 417,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.