| Title |
Visualizing Big Data with augmented and virtual reality: challenges and research agenda
|
|---|---|
| Published in |
Journal of Big Data, October 2015
|
| DOI | 10.1186/s40537-015-0031-2 |
| Authors |
Ekaterina Olshannikova, Aleksandr Ometov, Yevgeni Koucheryavy, Thomas Olsson |
X Demographics
The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 24% |
| Switzerland | 2 | 5% |
| United Kingdom | 2 | 5% |
| France | 2 | 5% |
| Greece | 2 | 5% |
| Japan | 2 | 5% |
| Germany | 1 | 2% |
| Belgium | 1 | 2% |
| Brazil | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 16 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 36 | 86% |
| Scientists | 4 | 10% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 707 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | <1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| New Zealand | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 701 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 127 | 18% |
| Student > Ph. D. Student | 122 | 17% |
| Student > Bachelor | 81 | 11% |
| Researcher | 53 | 7% |
| Lecturer | 32 | 5% |
| Other | 116 | 16% |
| Unknown | 176 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 237 | 34% |
| Engineering | 89 | 13% |
| Business, Management and Accounting | 43 | 6% |
| Social Sciences | 23 | 3% |
| Design | 22 | 3% |
| Other | 94 | 13% |
| Unknown | 199 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 82. 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 April 2023.
All research outputs
#517,755
of 25,383,225 outputs
Outputs from Journal of Big Data
#11
of 385 outputs
Outputs of similar age
#7,145
of 282,834 outputs
Outputs of similar age from Journal of Big Data
#3
of 6 outputs
Altmetric has tracked 25,383,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 385 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done particularly well, scoring higher than 97% 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 282,834 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.