| Title |
Discovering temporal regularities in retail customers’ shopping behavior
|
|---|---|
| Published in |
EPJ Data Science, March 2018
|
| DOI | 10.1140/epjds/s13688-018-0133-0 |
| Authors |
Riccardo Guidotti, Lorenzo Gabrielli, Anna Monreale, Dino Pedreschi, Fosca Giannotti |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 5 | 25% |
| Croatia | 1 | 5% |
| Estonia | 1 | 5% |
| France | 1 | 5% |
| Chile | 1 | 5% |
| United States | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 50% |
| Scientists | 8 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 17% |
| Researcher | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Student > Doctoral Student | 5 | 9% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 7 | 12% |
| Unknown | 22 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 21% |
| Business, Management and Accounting | 9 | 16% |
| Engineering | 5 | 9% |
| Environmental Science | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 25 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 25 May 2018.
All research outputs
#2,073,355
of 25,998,826 outputs
Outputs from EPJ Data Science
#174
of 455 outputs
Outputs of similar age
#43,498
of 351,391 outputs
Outputs of similar age from EPJ Data Science
#5
of 6 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.4. This one has gotten more attention than average, scoring higher than 61% 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 351,391 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% 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.