| Title |
Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces
|
|---|---|
| Published in |
EPJ Data Science, January 2018
|
| DOI | 10.1140/epjds/s13688-017-0128-2 |
| Authors |
Yongli Ren, Martin Tomko, Flora D Salim, Jeffrey Chan, Mark Sanderson |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| United Kingdom | 1 | 11% |
| Australia | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 28% |
| Researcher | 5 | 11% |
| Student > Master | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Lecturer | 2 | 4% |
| Other | 7 | 15% |
| Unknown | 12 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 33% |
| Engineering | 8 | 17% |
| Business, Management and Accounting | 2 | 4% |
| Social Sciences | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 17 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 October 2018.
All research outputs
#1,556,248
of 23,577,654 outputs
Outputs from EPJ Data Science
#133
of 386 outputs
Outputs of similar age
#37,797
of 445,345 outputs
Outputs of similar age from EPJ Data Science
#6
of 6 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 386 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.3. This one has gotten more attention than average, scoring higher than 65% 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 445,345 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 91% 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.