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Scientific modelling in generative grammar and the dynamic turn in syntax

Overview of attention for article published in Linguistics and Philosophy, September 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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7 Dimensions

Readers on

mendeley
25 Mendeley
Title
Scientific modelling in generative grammar and the dynamic turn in syntax
Published in
Linguistics and Philosophy, September 2016
DOI 10.1007/s10988-016-9193-4
Authors

Ryan M. Nefdt

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 16%
Lecturer 2 8%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Researcher 2 8%
Other 6 24%
Unknown 7 28%
Readers by discipline Count As %
Linguistics 9 36%
Philosophy 3 12%
Arts and Humanities 2 8%
Social Sciences 2 8%
Psychology 1 4%
Other 0 0%
Unknown 8 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 July 2021.
All research outputs
#13,790,011
of 22,893,031 outputs
Outputs from Linguistics and Philosophy
#98
of 211 outputs
Outputs of similar age
#175,958
of 322,602 outputs
Outputs of similar age from Linguistics and Philosophy
#2
of 3 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 211 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 52% 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 322,602 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.