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Language clustering with word co-occurrence networks based on parallel texts

Overview of attention for article published in Science Bulletin, March 2013
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Mentioned by

weibo
1 weibo user

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
50 Mendeley
Title
Language clustering with word co-occurrence networks based on parallel texts
Published in
Science Bulletin, March 2013
DOI 10.1007/s11434-013-5711-8
Authors

HaiTao Liu, Jin Cong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
China 1 2%
South Africa 1 2%
Unknown 46 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Student > Master 6 12%
Student > Doctoral Student 5 10%
Researcher 5 10%
Professor 3 6%
Other 6 12%
Unknown 13 26%
Readers by discipline Count As %
Computer Science 13 26%
Linguistics 7 14%
Engineering 5 10%
Business, Management and Accounting 3 6%
Physics and Astronomy 3 6%
Other 7 14%
Unknown 12 24%
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 25 March 2015.
All research outputs
#19,917,643
of 25,374,647 outputs
Outputs from Science Bulletin
#1,447
of 1,744 outputs
Outputs of similar age
#154,598
of 210,062 outputs
Outputs of similar age from Science Bulletin
#25
of 26 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,744 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 17th percentile – i.e., 17% 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 210,062 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.