↓ Skip to main content

User behaviour modeling, recommendations, and purchase prediction during shopping festivals

Overview of attention for article published in Electronic Markets, September 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
78 Mendeley
Title
User behaviour modeling, recommendations, and purchase prediction during shopping festivals
Published in
Electronic Markets, September 2018
DOI 10.1007/s12525-018-0311-8
Authors

Ming Zeng, Hancheng Cao, Min Chen, Yong Li

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 15%
Student > Bachelor 7 9%
Lecturer 5 6%
Researcher 5 6%
Student > Ph. D. Student 4 5%
Other 13 17%
Unknown 32 41%
Readers by discipline Count As %
Computer Science 15 19%
Business, Management and Accounting 13 17%
Engineering 4 5%
Social Sciences 4 5%
Economics, Econometrics and Finance 3 4%
Other 9 12%
Unknown 30 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 September 2018.
All research outputs
#18,648,325
of 23,102,082 outputs
Outputs from Electronic Markets
#528
of 570 outputs
Outputs of similar age
#258,106
of 336,142 outputs
Outputs of similar age from Electronic Markets
#9
of 10 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 570 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 336,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.