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Learning from the computational modelling of Plains Cree verbs

Overview of attention for article published in Morphology, October 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
5 Mendeley
Title
Learning from the computational modelling of Plains Cree verbs
Published in
Morphology, October 2017
DOI 10.1007/s11525-017-9315-x
Authors

Atticus G. Harrigan, Katherine Schmirler, Antti Arppe, Lene Antonsen, Trond Trosterud, Arok Wolvengrey

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 20%
Student > Bachelor 1 20%
Student > Master 1 20%
Student > Ph. D. Student 1 20%
Student > Doctoral Student 1 20%
Other 0 0%
Readers by discipline Count As %
Linguistics 3 60%
Computer Science 1 20%
Social Sciences 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 September 2018.
All research outputs
#3,664,466
of 12,588,563 outputs
Outputs from Morphology
#6
of 50 outputs
Outputs of similar age
#102,564
of 268,719 outputs
Outputs of similar age from Morphology
#1
of 3 outputs
Altmetric has tracked 12,588,563 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 50 research outputs from this source. They receive a mean Attention Score of 1.6. This one scored the same or higher as 44 of them.
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 268,719 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 60% of its contemporaries.
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. This one has scored higher than all of them