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Improving topic modeling through homophily for legal documents

Overview of attention for article published in Applied Network Science, October 2020
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Mentioned by

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2 X users

Citations

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6 Dimensions

Readers on

mendeley
14 Mendeley
Title
Improving topic modeling through homophily for legal documents
Published in
Applied Network Science, October 2020
DOI 10.1007/s41109-020-00321-y
Authors

Kazuki Ashihara, Cheikh Brahim El Vaigh, Chenhui Chu, Benjamin Renoust, Noriko Okubo, Noriko Takemura, Yuta Nakashima, Hajime Nagahara

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 14%
Professor 1 7%
Unspecified 1 7%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 8 57%
Readers by discipline Count As %
Computer Science 4 29%
Unspecified 1 7%
Business, Management and Accounting 1 7%
Medicine and Dentistry 1 7%
Unknown 7 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 31 October 2020.
All research outputs
#18,093,540
of 23,253,955 outputs
Outputs from Applied Network Science
#392
of 512 outputs
Outputs of similar age
#297,139
of 418,860 outputs
Outputs of similar age from Applied Network Science
#32
of 37 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 512 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 8th percentile – i.e., 8% 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 418,860 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.