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Good location, terrible food: detecting feature sentiment in user-generated reviews

Overview of attention for article published in Social Network Analysis and Mining, June 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
1 X user
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
74 Mendeley
Title
Good location, terrible food: detecting feature sentiment in user-generated reviews
Published in
Social Network Analysis and Mining, June 2013
DOI 10.1007/s13278-013-0119-7
Authors

Mario Cataldi, Andrea Ballatore, Ilaria Tiddi, Marie-Aude Aufaure

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

Geographical breakdown

Country Count As %
Brazil 2 3%
India 1 1%
United Kingdom 1 1%
Egypt 1 1%
Spain 1 1%
Unknown 68 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Student > Master 15 20%
Student > Bachelor 11 15%
Researcher 7 9%
Lecturer 4 5%
Other 6 8%
Unknown 14 19%
Readers by discipline Count As %
Computer Science 35 47%
Engineering 7 9%
Social Sciences 4 5%
Business, Management and Accounting 4 5%
Agricultural and Biological Sciences 2 3%
Other 6 8%
Unknown 16 22%
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 18 March 2023.
All research outputs
#7,221,678
of 23,556,846 outputs
Outputs from Social Network Analysis and Mining
#103
of 334 outputs
Outputs of similar age
#60,552
of 198,476 outputs
Outputs of similar age from Social Network Analysis and Mining
#2
of 3 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 334 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 68% 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 198,476 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 68% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.