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Why some products compete and others don't: A competitive attribution model from customer perspective

Overview of attention for article published in Decision Support Systems, June 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#36 of 859)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
3 news outlets

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Why some products compete and others don't: A competitive attribution model from customer perspective
Published in
Decision Support Systems, June 2023
DOI 10.1016/j.dss.2023.113956
Authors

Yang Qian, Yuanchun Jiang, Jennifer Shang, Yidong Chai, Yezheng Liu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Student > Bachelor 2 12%
Student > Doctoral Student 2 12%
Lecturer 1 6%
Unspecified 1 6%
Other 0 0%
Unknown 6 35%
Readers by discipline Count As %
Business, Management and Accounting 5 29%
Computer Science 2 12%
Unspecified 1 6%
Arts and Humanities 1 6%
Engineering 1 6%
Other 0 0%
Unknown 7 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 06 April 2023.
All research outputs
#2,224,825
of 24,557,820 outputs
Outputs from Decision Support Systems
#36
of 859 outputs
Outputs of similar age
#40,842
of 367,615 outputs
Outputs of similar age from Decision Support Systems
#2
of 7 outputs
Altmetric has tracked 24,557,820 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 859 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 95% 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 367,615 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 88% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.