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Improved lexicon-based sentiment analysis for social media analytics

Overview of attention for article published in Security Informatics, December 2015
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Mentioned by

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1 X user

Readers on

mendeley
318 Mendeley
Title
Improved lexicon-based sentiment analysis for social media analytics
Published in
Security Informatics, December 2015
DOI 10.1186/s13388-015-0024-x
Authors

Anna Jurek, Maurice D. Mulvenna, Yaxin Bi

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

Geographical breakdown

Country Count As %
South Africa 1 <1%
Unknown 317 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 59 19%
Student > Bachelor 46 14%
Student > Ph. D. Student 41 13%
Researcher 13 4%
Student > Doctoral Student 12 4%
Other 43 14%
Unknown 104 33%
Readers by discipline Count As %
Computer Science 134 42%
Engineering 16 5%
Business, Management and Accounting 15 5%
Social Sciences 13 4%
Linguistics 7 2%
Other 23 7%
Unknown 110 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 December 2015.
All research outputs
#18,432,465
of 22,835,198 outputs
Outputs from Security Informatics
#27
of 37 outputs
Outputs of similar age
#280,827
of 389,036 outputs
Outputs of similar age from Security Informatics
#1
of 2 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one scored the same or higher as 10 of them.
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 389,036 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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