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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
SimpliFly: A Methodology for Simplification and Thematic Enhancement of Trajectories
|
|---|---|
| Published in |
IEEE Transactions on Visualization and Computer Graphics, July 2014
|
| DOI | 10.1109/tvcg.2014.2337333 |
| Pubmed ID | |
| Authors |
Katerina Vrotsou, Halldor Janetzko, Carlo Navarra, Georg Fuchs, David Spretke, Florian Mansmann, Natalia Andrienko, Gennady Andrienko |
| Abstract |
Movement data sets collected using today's advanced tracking devices consist of complex trajectories in terms of length, shape, and number of recorded positions. Multiple additional attributes characterizing the movement and its environment are often also included making the level of complexity even higher. Simplification of trajectories can improve the visibility of relevant information by reducing less relevant details while maintaining important movement patterns. We propose a systematic stepwise methodology for simplifying and thematically enhancing trajectories in order to support their visual analysis. The methodology is applied iteratively and is composed of: (a) a simplification step applied to reduce the morphological complexity of the trajectories, (b) a thematic enhancement step which aims at accentuating patterns of movement, and (c) the representation and interactive exploration of the results in order to make interpretations of the findings and further refinement to the simplification and enhancement process. We illustrate our methodology through an analysis example of two different types of tracks, aircraft and pedestrian movement. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Austria | 1 | 2% |
| Sri Lanka | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 57 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 29% |
| Student > Master | 13 | 21% |
| Researcher | 10 | 16% |
| Professor | 3 | 5% |
| Student > Bachelor | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 9 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 60% |
| Earth and Planetary Sciences | 4 | 6% |
| Social Sciences | 3 | 5% |
| Engineering | 3 | 5% |
| Decision Sciences | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 11 | 18% |
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 12 April 2016.
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
#206,612
of 240,373 outputs
Outputs of similar age from IEEE Transactions on Visualization and Computer Graphics
#88
of 89 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 240,373 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 89 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.