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Mendeley readers
Attention Score in Context
| Title |
Haptic Rendering of Dynamic Volumetric Data
|
|---|---|
| Published in |
IEEE Transactions on Visualization and Computer Graphics, January 2008
|
| DOI | 10.1109/tvcg.2007.70409 |
| Pubmed ID | |
| Authors |
K.L. Palmerius, M. Cooper, A. Ynnerman |
| Abstract |
With current methods for volume haptics in scientific visualization, features in time-varying data can freely move straight through the haptic probe without generating any haptic feedback the algorithms are simply not designed to handle variation with time but consider only the instantaneous configuration when the haptic feedback is calculated. This article introduces haptic rendering of dynamic volumetric data to provide a means for haptic exploration of dynamic behaviour in volumetric data. We show how haptic feedback can be produced that is consistent with volumetric data moving within the virtual environment and with data that, in itself, evolves over time. Haptic interaction with time-varying data is demonstrated by allowing palpation of a CT sequence of a beating human heart. |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Germany | 1 | 2% |
| Portugal | 1 | 2% |
| Greece | 1 | 2% |
| Turkey | 1 | 2% |
| Unknown | 36 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Researcher | 6 | 14% |
| Student > Master | 6 | 14% |
| Student > Doctoral Student | 2 | 5% |
| Professor | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 50% |
| Psychology | 3 | 7% |
| Engineering | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 7 | 17% |
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 25 September 2009.
All research outputs
#22,760,732
of 25,377,790 outputs
Outputs from IEEE Transactions on Visualization and Computer Graphics
#2,157
of 2,300 outputs
Outputs of similar age
#163,784
of 168,393 outputs
Outputs of similar age from IEEE Transactions on Visualization and Computer Graphics
#55
of 55 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% 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 168,393 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.