↓ Skip to main content

Protótipo de aplicativo para terapia vocal: análise por pares

Overview of attention for article published in CoDAS, January 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
52 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Protótipo de aplicativo para terapia vocal: análise por pares
Published in
CoDAS, January 2017
DOI 10.1590/2317-1782/20172015300
Pubmed ID
Authors

Paula Lavaissiéri, Paulo Eduardo Damasceno Melo

Abstract

Voice speech therapy promotes changes in patients' voice-related habits and rehabilitation. Speech-language therapists use a host of materials ranging from pictures to electronic resources and computer tools as aids in this process. Mobile technology is attractive, interactive and a nearly constant feature in the daily routine of a large part of the population and has a growing application in healthcare. To develop a prototype application for voice therapy, submit it to peer assessment, and to improve the initial prototype based on these assessments. a prototype of the Q-Voz application was developed based on Apple's Human Interface Guidelines. The prototype was analyzed by seven speech therapists who work in the voice area. Improvements to the product were made based on these assessments. all features of the application were considered satisfactory by most evaluators. All evaluators found the application very useful; evaluators reported that patients would find it easier to make changes in voice behavior with the application than without it; the evaluators stated they would use this application with their patients with dysphonia and in the process of rehabilitation and that the application offers useful tools for voice self-management. Based on the suggestions provided, six improvements were made to the prototype. the prototype Q-Voz Application was developed and evaluated by seven judges and subsequently improved. All evaluators stated they would use the application with their patients undergoing rehabilitation, indicating that the Q-Voz Application for mobile devices can be considered an auxiliary tool for voice speech therapy.

X Demographics

X Demographics

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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 23%
Student > Master 6 12%
Other 4 8%
Researcher 3 6%
Student > Ph. D. Student 3 6%
Other 7 13%
Unknown 17 33%
Readers by discipline Count As %
Nursing and Health Professions 16 31%
Medicine and Dentistry 5 10%
Social Sciences 4 8%
Psychology 3 6%
Unspecified 1 2%
Other 3 6%
Unknown 20 38%
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 28 April 2017.
All research outputs
#17,730,887
of 25,988,468 outputs
Outputs from CoDAS
#34
of 92 outputs
Outputs of similar age
#271,985
of 425,727 outputs
Outputs of similar age from CoDAS
#3
of 7 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 92 research outputs from this source. They receive a mean Attention Score of 1.9. This one is in the 48th percentile – i.e., 48% 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 425,727 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 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.