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Discovering temporal regularities in retail customers’ shopping behavior

Overview of attention for article published in EPJ Data Science, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

blogs
1 blog
twitter
20 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
50 Mendeley
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

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Student > Doctoral Student 6 12%
Student > Bachelor 5 10%
Student > Ph. D. Student 4 8%
Researcher 3 6%
Other 6 12%
Unknown 18 36%
Readers by discipline Count As %
Computer Science 10 20%
Business, Management and Accounting 9 18%
Engineering 5 10%
Arts and Humanities 1 2%
Earth and Planetary Sciences 1 2%
Other 3 6%
Unknown 21 42%

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
#1,649,068
of 21,995,459 outputs
Outputs from EPJ Data Science
#158
of 365 outputs
Outputs of similar age
#37,038
of 298,175 outputs
Outputs of similar age from EPJ Data Science
#1
of 1 outputs
Altmetric has tracked 21,995,459 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 365 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has gotten more attention than average, scoring higher than 56% 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 298,175 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them