↓ Skip to main content

Successive-cyclic case assignment: Korean nominative-nominative case-stacking

Overview of attention for article published in Natural Language & Linguistic Theory, May 2016
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#45 of 302)
  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
16 Mendeley
Title
Successive-cyclic case assignment: Korean nominative-nominative case-stacking
Published in
Natural Language & Linguistic Theory, May 2016
DOI 10.1007/s11049-016-9342-z
Authors

Theodore Levin

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Student > Doctoral Student 2 13%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Other 1 6%
Other 3 19%
Unknown 3 19%
Readers by discipline Count As %
Linguistics 9 56%
Business, Management and Accounting 1 6%
Social Sciences 1 6%
Medicine and Dentistry 1 6%
Neuroscience 1 6%
Other 0 0%
Unknown 3 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 March 2022.
All research outputs
#7,113,665
of 23,257,423 outputs
Outputs from Natural Language & Linguistic Theory
#45
of 302 outputs
Outputs of similar age
#107,212
of 324,386 outputs
Outputs of similar age from Natural Language & Linguistic Theory
#2
of 7 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 302 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 84% 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 324,386 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.