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Numeral classifiers in Mandarin Chinese

Overview of attention for article published in Journal of East Asian Linguistics, January 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 100)
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

news
1 news outlet
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
100 Mendeley
citeulike
2 CiteULike
Title
Numeral classifiers in Mandarin Chinese
Published in
Journal of East Asian Linguistics, January 2007
DOI 10.1007/s10831-006-9006-9
Authors

Hong Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Germany 1 1%
Thailand 1 1%
Unknown 96 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 24%
Student > Master 16 16%
Researcher 10 10%
Professor > Associate Professor 8 8%
Student > Bachelor 7 7%
Other 21 21%
Unknown 14 14%
Readers by discipline Count As %
Linguistics 65 65%
Psychology 8 8%
Social Sciences 4 4%
Arts and Humanities 3 3%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 6 6%
Unknown 13 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 03 November 2023.
All research outputs
#2,699,074
of 22,782,096 outputs
Outputs from Journal of East Asian Linguistics
#3
of 100 outputs
Outputs of similar age
#10,461
of 158,493 outputs
Outputs of similar age from Journal of East Asian Linguistics
#1
of 1 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 100 research outputs from this source. They receive a mean Attention Score of 1.8. This one has done particularly well, scoring higher than 97% of its peers.
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 158,493 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 1 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