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Sentiment analysis using product review data

Overview of attention for article published in Journal of Big Data, June 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
488 Dimensions

Readers on

mendeley
1064 Mendeley
Title
Sentiment analysis using product review data
Published in
Journal of Big Data, June 2015
DOI 10.1186/s40537-015-0015-2
Authors

Xing Fang, Justin Zhan

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 1,064 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Croatia 1 <1%
India 1 <1%
Greece 1 <1%
Taiwan 1 <1%
Unknown 1060 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 187 18%
Student > Bachelor 137 13%
Student > Ph. D. Student 111 10%
Lecturer 41 4%
Researcher 38 4%
Other 131 12%
Unknown 419 39%
Readers by discipline Count As %
Computer Science 359 34%
Business, Management and Accounting 74 7%
Engineering 62 6%
Social Sciences 24 2%
Economics, Econometrics and Finance 17 2%
Other 85 8%
Unknown 443 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 August 2021.
All research outputs
#6,419,960
of 22,813,792 outputs
Outputs from Journal of Big Data
#104
of 334 outputs
Outputs of similar age
#68,550
of 239,955 outputs
Outputs of similar age from Journal of Big Data
#7
of 9 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 334 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 67% 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 239,955 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.