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A hybrid model of sentimental entity recognition on mobile social media

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, October 2016
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Mentioned by

twitter
1 X user

Citations

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24 Dimensions

Readers on

mendeley
89 Mendeley
Title
A hybrid model of sentimental entity recognition on mobile social media
Published in
EURASIP Journal on Wireless Communications and Networking, October 2016
DOI 10.1186/s13638-016-0745-7
Authors

Zhibo Wang, Xiaohui Cui, Lu Gao, Qi Yin, Lei Ke, Shurong Zhang

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

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 22%
Student > Ph. D. Student 12 13%
Lecturer 7 8%
Researcher 6 7%
Student > Postgraduate 6 7%
Other 16 18%
Unknown 22 25%
Readers by discipline Count As %
Computer Science 30 34%
Business, Management and Accounting 5 6%
Arts and Humanities 5 6%
Social Sciences 4 4%
Engineering 4 4%
Other 13 15%
Unknown 28 31%
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 31 October 2016.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from EURASIP Journal on Wireless Communications and Networking
#363
of 549 outputs
Outputs of similar age
#247,244
of 320,951 outputs
Outputs of similar age from EURASIP Journal on Wireless Communications and Networking
#7
of 8 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 549 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 24th percentile – i.e., 24% 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 320,951 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.