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Overview and Future Opportunities of Sentiment Analysis Approaches for Big Data

Overview of attention for article published in Journal of Computer Science, March 2016
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About this Attention Score

  • Among the highest-scoring outputs from this source (#21 of 132)
  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
113 Mendeley
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Title
Overview and Future Opportunities of Sentiment Analysis Approaches for Big Data
Published in
Journal of Computer Science, March 2016
DOI 10.3844/jcssp.2016.153.168
Authors

Nurfadhlina Mohd Sharef, Harnani Mat Zin, Samaneh Nadali

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 16%
Student > Master 18 16%
Student > Doctoral Student 11 10%
Student > Bachelor 9 8%
Lecturer 6 5%
Other 12 11%
Unknown 39 35%
Readers by discipline Count As %
Computer Science 43 38%
Business, Management and Accounting 11 10%
Engineering 7 6%
Economics, Econometrics and Finance 4 4%
Social Sciences 4 4%
Other 2 2%
Unknown 42 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 April 2019.
All research outputs
#8,537,346
of 25,377,790 outputs
Outputs from Journal of Computer Science
#21
of 132 outputs
Outputs of similar age
#112,714
of 312,604 outputs
Outputs of similar age from Journal of Computer Science
#1
of 3 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 132 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 28th percentile – i.e., 28% 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 312,604 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 54% 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. This one has scored higher than all of them