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Designing reality-based interfaces for experiential bio-design

Overview of attention for article published in Personal and Ubiquitous Computing, November 2013
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Mentioned by

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1 X user

Citations

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18 Dimensions

Readers on

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81 Mendeley
Title
Designing reality-based interfaces for experiential bio-design
Published in
Personal and Ubiquitous Computing, November 2013
DOI 10.1007/s00779-013-0752-1
Authors

Orit Shaer, Consuelo Valdes, Sirui Liu, Kara Lu, Kimberly Chang, Wendy Xu, Traci L. Haddock, Swapnil Bhatia, Douglas Densmore, Robert Kincaid

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Germany 1 1%
Unknown 79 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 19%
Student > Bachelor 13 16%
Student > Master 12 15%
Student > Doctoral Student 9 11%
Researcher 8 10%
Other 13 16%
Unknown 11 14%
Readers by discipline Count As %
Computer Science 35 43%
Social Sciences 9 11%
Design 5 6%
Agricultural and Biological Sciences 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 12 15%
Unknown 13 16%
Attention Score in Context

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 24 July 2014.
All research outputs
#18,375,064
of 22,758,963 outputs
Outputs from Personal and Ubiquitous Computing
#875
of 1,190 outputs
Outputs of similar age
#231,732
of 306,598 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#17
of 20 outputs
Altmetric has tracked 22,758,963 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 1,190 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 8th percentile – i.e., 8% 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 306,598 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 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.