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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

  • Among the highest-scoring outputs from this source (#21 of 102)
  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
13 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

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Doctoral Student 2 15%
Student > Master 2 15%
Other 1 8%
Professor 1 8%
Other 3 23%
Readers by discipline Count As %
Linguistics 5 38%
Social Sciences 2 15%
Computer Science 2 15%
Business, Management and Accounting 1 8%
Arts and Humanities 1 8%
Other 1 8%
Unknown 1 8%
Attention Score in Context

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
#7,575,658
of 23,102,082 outputs
Outputs from Morphology
#21
of 102 outputs
Outputs of similar age
#124,825
of 328,795 outputs
Outputs of similar age from Morphology
#1
of 4 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 102 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 77% 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 328,795 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 54% of its contemporaries.
We're also able to compare this research output to 4 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