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The construction of Chinese microblog gender-specific thesauruses and user gender classification

Overview of attention for article published in Applied Network Science, November 2018
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Mentioned by

twitter
1 X user

Citations

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4 Dimensions

Readers on

mendeley
10 Mendeley
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Title
The construction of Chinese microblog gender-specific thesauruses and user gender classification
Published in
Applied Network Science, November 2018
DOI 10.1007/s41109-018-0104-1
Pubmed ID
Authors

Zhiliang Zhu, Zejun Ke, Jiayin Cui, Hai Yu, Guoqi Liu

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 10%
Student > Bachelor 1 10%
Researcher 1 10%
Lecturer 1 10%
Unknown 6 60%
Readers by discipline Count As %
Computer Science 3 30%
Business, Management and Accounting 2 20%
Unknown 5 50%
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 09 November 2018.
All research outputs
#18,655,700
of 23,112,054 outputs
Outputs from Applied Network Science
#465
of 506 outputs
Outputs of similar age
#270,111
of 352,383 outputs
Outputs of similar age from Applied Network Science
#12
of 12 outputs
Altmetric has tracked 23,112,054 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 506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 2nd percentile – i.e., 2% 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 352,383 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 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.