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A Bayesian network approach to juxtapose brand engagement and behaviors of substantive interest in e-services

Overview of attention for article published in Electronic Commerce Research, October 2018
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1 X user

Citations

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7 Dimensions

Readers on

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93 Mendeley
Title
A Bayesian network approach to juxtapose brand engagement and behaviors of substantive interest in e-services
Published in
Electronic Commerce Research, October 2018
DOI 10.1007/s10660-018-9320-0
Authors

Taewon Suh, Seok Kang, Elyria A. Kemp

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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Professor > Associate Professor 8 9%
Student > Doctoral Student 8 9%
Researcher 6 6%
Professor 5 5%
Other 17 18%
Unknown 34 37%
Readers by discipline Count As %
Business, Management and Accounting 19 20%
Social Sciences 12 13%
Computer Science 9 10%
Arts and Humanities 2 2%
Economics, Econometrics and Finance 2 2%
Other 8 9%
Unknown 41 44%
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 16 October 2018.
All research outputs
#15,547,925
of 23,106,934 outputs
Outputs from Electronic Commerce Research
#61
of 92 outputs
Outputs of similar age
#217,432
of 346,884 outputs
Outputs of similar age from Electronic Commerce Research
#1
of 2 outputs
Altmetric has tracked 23,106,934 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 92 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 15th percentile – i.e., 15% 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 346,884 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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