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Prevention of sexually transmitted infections using mobile devices and ubiquitous computing

Overview of attention for article published in International Journal of Health Geographics, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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9 X users
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2 Facebook pages
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1 Google+ user

Citations

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20 Dimensions

Readers on

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92 Mendeley
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Title
Prevention of sexually transmitted infections using mobile devices and ubiquitous computing
Published in
International Journal of Health Geographics, May 2015
DOI 10.1186/s12942-015-0010-z
Pubmed ID
Authors

Felipe Besoain, Antoni Perez-Navarro, Joan A Caylà, Constanza Jacques Aviñó, Patricia García de Olalla

Abstract

Advances in the development of information and communication technologies have facilitated social interrelationships, but also sexual contacts without appropriate preventive measures. In this paper, we will focus on situations in which people use applications to meet sexual partners nearby, which could increase their chance of exposure to sexually transmitted infections (STI). How can we encourage users to adopt preventive measures without violating their privacy or infringing on the character of the application? To achieve the goal of preventing STI, we have used the design and creation methodology and have developed a prototype software package. This prototype follows the RESTful services principles and has two parts: an Android OS application with emphasis on ubiquitous computing and designed according to General Responsibility Assignment Software Patterns (GRASP), and a server with a web page. To choose the preventive messages, we performed a test in 17 men who have sex with men (MSM). Our software sends preventive notifications to users when it detects situations such as the activation of particular applications on their smartphones, or their proximity to areas with a high probability of intercourse (hot zones). The underlying idea is the same as that for warning messages on cigarette packets, since users read the message just when they are going to smoke. The messages used have been selected from a list that has been rated by the users themselves. The most popular message is "Enjoy sex and enjoy life. Do not expose yourself to HIV". The user is unaware of the software, which runs in the background. Ubiquitous computing may be useful for alerting users with preventive and educational messages. The proposed application is non-intrusive because: 1) the users themselves decide to install it and, therefore, users' privacy rights are preserved; 2) it sends a message that helps users think about taking appropriate preventive measures; and 3) it works in the background without interfering with users unless a trigger situation is detected. Thus, this type of application could become an important tool in the complex task of STI prevention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
Unknown 90 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 16%
Student > Bachelor 12 13%
Researcher 11 12%
Student > Ph. D. Student 11 12%
Lecturer 5 5%
Other 16 17%
Unknown 22 24%
Readers by discipline Count As %
Medicine and Dentistry 21 23%
Nursing and Health Professions 10 11%
Computer Science 10 11%
Social Sciences 7 8%
Psychology 4 4%
Other 14 15%
Unknown 26 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 18 April 2016.
All research outputs
#4,130,255
of 22,803,211 outputs
Outputs from International Journal of Health Geographics
#147
of 627 outputs
Outputs of similar age
#52,793
of 264,285 outputs
Outputs of similar age from International Journal of Health Geographics
#4
of 11 outputs
Altmetric has tracked 22,803,211 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 627 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done well, scoring higher than 76% of its peers.
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 264,285 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 11 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 63% of its contemporaries.