| Title |
Partitioning open-plan workspaces via augmented reality
|
|---|---|
| Published in |
Personal and Ubiquitous Computing, October 2019
|
| DOI | 10.1007/s00779-019-01306-0 |
| Authors |
Hyelip Lee, Seungwoo Je, Rachel Kim, Himanshu Verma, Hamed Alavi, Andrea Bianchi |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Lecturer | 4 | 13% |
| Student > Bachelor | 2 | 6% |
| Student > Master | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 11 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 26% |
| Design | 4 | 13% |
| Chemistry | 2 | 6% |
| Medicine and Dentistry | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 February 2023.
All research outputs
#7,019,241
of 23,445,423 outputs
Outputs from Personal and Ubiquitous Computing
#188
of 1,204 outputs
Outputs of similar age
#124,916
of 351,413 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#2
of 36 outputs
Altmetric has tracked 23,445,423 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 83% of its peers.
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 351,413 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.