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.
| Title |
Integrating images from a moveable tracked display of three-dimensional data
|
|---|---|
| Published in |
Cognitive Research: Principles and Implications, August 2017
|
| DOI | 10.1186/s41235-017-0069-0 |
| Pubmed ID | |
| Authors |
Gaurav Shukla, Roberta L. Klatzky, Bing Wu, Bo Wang, John Galeotti, Brian Chapmann, George Stetten |
| Abstract |
This paper describes a novel method for displaying data obtained by three-dimensional medical imaging, by which the position and orientation of a freely movable screen are optically tracked and used in real time to select the current slice from the data set for presentation. With this method, which we call a "freely moving in-situ medical image", the screen and imaged data are registered to a common coordinate system in space external to the user, at adjustable scale, and are available for free exploration. The three-dimensional image data occupy empty space, as if an invisible patient is being sliced by the moving screen. A behavioral study using real computed tomography lung vessel data established the superiority of the in situ display over a control condition with the same free exploration, but displaying data on a fixed screen (ex situ), with respect to accuracy in the task of tracing along a vessel and reporting spatial relations between vessel structures. A "freely moving in-situ medical image" display appears from these measures to promote spatial navigation and understanding of medical data. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 40% |
| Student > Ph. D. Student | 2 | 20% |
| Unspecified | 1 | 10% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 10% |
| Mathematics | 1 | 10% |
| Computer Science | 1 | 10% |
| Psychology | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Other | 2 | 20% |
| Unknown | 3 | 30% |
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 04 November 2021.
All research outputs
#7,850,857
of 23,806,312 outputs
Outputs from Cognitive Research: Principles and Implications
#211
of 336 outputs
Outputs of similar age
#121,673
of 318,556 outputs
Outputs of similar age from Cognitive Research: Principles and Implications
#7
of 7 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 336 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.4. This one is in the 36th percentile – i.e., 36% 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 318,556 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 54% of its contemporaries.
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.