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Complementing human effort in online reviews: A deep learning approach to automatic content generation and review synthesis

Overview of attention for article published in International Journal of Research in Marketing, March 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 552)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
22 news outlets
blogs
2 blogs
twitter
12 X users
reddit
2 Redditors

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
80 Mendeley
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Title
Complementing human effort in online reviews: A deep learning approach to automatic content generation and review synthesis
Published in
International Journal of Research in Marketing, March 2023
DOI 10.1016/j.ijresmar.2022.02.004
Authors

Keith Carlson, Praveen K. Kopalle, Allen Riddell, Daniel Rockmore, Prasad Vana

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 8%
Student > Doctoral Student 5 6%
Student > Bachelor 5 6%
Professor 4 5%
Professor > Associate Professor 4 5%
Other 12 15%
Unknown 44 55%
Readers by discipline Count As %
Business, Management and Accounting 15 19%
Computer Science 4 5%
Engineering 3 4%
Unspecified 2 3%
Economics, Econometrics and Finance 2 3%
Other 9 11%
Unknown 45 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 195. 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 08 December 2023.
All research outputs
#210,597
of 26,083,840 outputs
Outputs from International Journal of Research in Marketing
#6
of 552 outputs
Outputs of similar age
#5,428
of 428,537 outputs
Outputs of similar age from International Journal of Research in Marketing
#1
of 12 outputs
Altmetric has tracked 26,083,840 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 552 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done particularly well, scoring higher than 98% 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 428,537 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.