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Fragment answers and movement

Overview of attention for article published in Natural Language & Linguistic Theory, June 2017
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
12 Mendeley
Title
Fragment answers and movement
Published in
Natural Language & Linguistic Theory, June 2017
DOI 10.1007/s11049-017-9369-9
Authors

Zheng Shen

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 2 17%
Student > Master 2 17%
Professor 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Linguistics 9 75%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Unknown 2 17%
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 20 June 2017.
All research outputs
#18,555,330
of 22,981,247 outputs
Outputs from Natural Language & Linguistic Theory
#244
of 301 outputs
Outputs of similar age
#242,006
of 317,350 outputs
Outputs of similar age from Natural Language & Linguistic Theory
#7
of 9 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 301 research outputs from this source. They receive a mean Attention Score of 2.7. 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 317,350 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.