| Title |
Reusing heterogeneous data for the conceptual design of shapes in virtual environments
|
|---|---|
| Published in |
Virtual Reality, November 2016
|
| DOI | 10.1007/s10055-016-0302-z |
| Authors |
Zongcheng Li, Franca Giannini, Jean-Philippe Pernot, Philippe Véron, Bianca Falcidieno |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 6% |
| Unknown | 17 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 22% |
| Student > Master | 4 | 22% |
| Student > Doctoral Student | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Professor | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 28% |
| Engineering | 4 | 22% |
| Design | 2 | 11% |
| Business, Management and Accounting | 1 | 6% |
| Arts and Humanities | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 3 | 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 10 December 2016.
All research outputs
#18,490,948
of 22,912,409 outputs
Outputs from Virtual Reality
#309
of 346 outputs
Outputs of similar age
#304,261
of 415,978 outputs
Outputs of similar age from Virtual Reality
#3
of 3 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 346 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 2nd percentile – i.e., 2% 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 415,978 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.