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Virtual environments for engineering applications

Overview of attention for article published in Virtual Reality, December 1998
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Mentioned by

patent
3 patents

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
36 Mendeley
citeulike
1 CiteULike
Title
Virtual environments for engineering applications
Published in
Virtual Reality, December 1998
DOI 10.1007/bf01408704
Authors

L. Sastry, D. R. S. Boyd

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 28%
Student > Ph. D. Student 8 22%
Professor > Associate Professor 4 11%
Student > Master 4 11%
Researcher 3 8%
Other 4 11%
Unknown 3 8%
Readers by discipline Count As %
Computer Science 13 36%
Engineering 5 14%
Psychology 3 8%
Business, Management and Accounting 2 6%
Social Sciences 2 6%
Other 4 11%
Unknown 7 19%
Attention Score in Context

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 11 February 2020.
All research outputs
#7,568,674
of 23,083,773 outputs
Outputs from Virtual Reality
#124
of 355 outputs
Outputs of similar age
#21,987
of 100,383 outputs
Outputs of similar age from Virtual Reality
#1
of 1 outputs
Altmetric has tracked 23,083,773 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 355 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 49th percentile – i.e., 49% 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 100,383 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them