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Evaluating product search and recommender systems for E-commerce environments

Overview of attention for article published in Electronic Commerce Research, May 2008
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Mentioned by

patent
4 patents

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
90 Mendeley
citeulike
1 CiteULike
Title
Evaluating product search and recommender systems for E-commerce environments
Published in
Electronic Commerce Research, May 2008
DOI 10.1007/s10660-008-9015-z
Authors

Pearl Pu, Li Chen, Pratyush Kumar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Unknown 88 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 23%
Student > Ph. D. Student 17 19%
Student > Bachelor 10 11%
Student > Doctoral Student 7 8%
Professor > Associate Professor 7 8%
Other 14 16%
Unknown 14 16%
Readers by discipline Count As %
Computer Science 41 46%
Business, Management and Accounting 22 24%
Engineering 5 6%
Social Sciences 2 2%
Economics, Econometrics and Finance 1 1%
Other 3 3%
Unknown 16 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 September 2019.
All research outputs
#7,531,132
of 22,979,862 outputs
Outputs from Electronic Commerce Research
#13
of 90 outputs
Outputs of similar age
#27,815
of 79,218 outputs
Outputs of similar age from Electronic Commerce Research
#1
of 1 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 90 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 44th percentile – i.e., 44% 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 79,218 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
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