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The EJES-3D tool for personalized prescription of exercise in axial spondyloarthritis through multimedia animations: pilot study

Overview of attention for article published in Rheumatology International, May 2018
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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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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12 tweeters
facebook
1 Facebook page

Citations

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1 Dimensions

Readers on

mendeley
10 Mendeley
Title
The EJES-3D tool for personalized prescription of exercise in axial spondyloarthritis through multimedia animations: pilot study
Published in
Rheumatology International, May 2018
DOI 10.1007/s00296-018-4049-6
Pubmed ID
Authors

Mariano Tomás Flórez, Raquel Almodóvar, Fernando García Pérez, Ana Belén Rodríguez Cambrón, Loreto Carmona, María Ángeles Pérez Manzanero, Juan Aboitiz Cantalapiedra, Ana Urruticoechea-Arana, Carlos J. Rodríguez Lozano, Carmen Castro, Cristina Fernández-Carballido, Eugenio de Miguel, Eva Galíndez, José Luis Álvarez Vega, Juan Carlos Torre Alonso, Luis F. Linares, Mireia Moreno, Victoria Navarro-Compán, Xavier Juanola, Pedro Zarco

Abstract

To develop and evaluate a web application based on multimedia animations, combined with a training program, to improve the prescription of exercises in spondyloarthritis (SpA). After a review of exercises included in the main clinical trials and recommendations of international societies, a multidisciplinary team-rehabilitators, rheumatologists, physiotherapists, computer scientists and graphic designers-developed a web application for the prescription of exercises (EJES-3D). Once completed, this was presented to 12 pairs of rehabilitators-rheumatologists from the same hospital in a workshop. Knowledge about exercise was tested in rheumatologists before and 6 months after the workshop, when they also evaluated the application. The EJES-3D application includes 38 multimedia videos and allows prescribing predesigned programs or customizing them. A patient can consult the prescribed exercises at any time from a device with internet connection (mobile, tablet, or computer). The vast majority of the evaluators (89%) were satisfied or very satisfied and considered that their expectations regarding the usefulness of the web application had been met. They highlighted the ability to tailor exercises adapted to the different stages of the disease and the quality and variety of the videos. They also indicated some limitations of the application and operational problems. The EJES-3D tool was positively evaluated by experts in SpA, potentially the most demanding group of users with the most critical capacity. This allows a preliminary validation of the contents, usefulness, and ease of use. Analyzing and correcting the errors and limitations detected is allowing us to improve the EJES-3D tool.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 50%
Librarian 2 20%
Student > Ph. D. Student 2 20%
Professor > Associate Professor 1 10%
Readers by discipline Count As %
Unspecified 5 50%
Medicine and Dentistry 2 20%
Nursing and Health Professions 1 10%
Agricultural and Biological Sciences 1 10%
Computer Science 1 10%
Other 0 0%

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 23 December 2018.
All research outputs
#1,969,677
of 13,116,247 outputs
Outputs from Rheumatology International
#118
of 1,245 outputs
Outputs of similar age
#61,611
of 270,642 outputs
Outputs of similar age from Rheumatology International
#4
of 26 outputs
Altmetric has tracked 13,116,247 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,245 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 90% 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 270,642 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 77% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.