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An HTML Tool for Production of Interactive Stereoscopic Compositions

Overview of attention for article published in Journal of Medical Systems, October 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
3 tweeters

Readers on

mendeley
3 Mendeley
Title
An HTML Tool for Production of Interactive Stereoscopic Compositions
Published in
Journal of Medical Systems, October 2016
DOI 10.1007/s10916-016-0616-0
Pubmed ID
Authors

Alexey Chistyakov, Maria Teresa Soto, Enric Martí, Jordi Carrabina

Abstract

The benefits of stereoscopic vision in medical applications were appreciated and have been thoroughly studied for more than a century. The usage of the stereoscopic displays has a proven positive impact on performance in various medical tasks. At the same time the market of 3D-enabled technologies is blooming. New high resolution stereo cameras, TVs, projectors, monitors, and head mounted displays become available. This equipment, completed with a corresponding application program interface (API), could be relatively easy implemented in a system. Such complexes could open new possibilities for medical applications exploiting the stereoscopic depth. This work proposes a tool for production of interactive stereoscopic graphical user interfaces, which could represent a software layer for web-based medical systems facilitating the stereoscopic effect. Further the tool's operation mode and the results of the conducted subjective and objective performance tests will be exposed.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 133%
Student > Master 2 67%
Student > Doctoral Student 2 67%
Student > Postgraduate 1 33%
Professor 1 33%
Other 1 33%
Readers by discipline Count As %
Unspecified 3 100%
Computer Science 3 100%
Medicine and Dentistry 2 67%
Engineering 2 67%
Social Sciences 1 33%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 October 2016.
All research outputs
#6,222,269
of 12,316,589 outputs
Outputs from Journal of Medical Systems
#233
of 667 outputs
Outputs of similar age
#100,497
of 268,037 outputs
Outputs of similar age from Journal of Medical Systems
#6
of 19 outputs
Altmetric has tracked 12,316,589 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 667 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 64% 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 268,037 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 19 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 68% of its contemporaries.