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DMIP: A Method for Identifying Potentially Deliberate Metaphor in Language Use

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

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

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4 X users

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
69 Mendeley
Title
DMIP: A Method for Identifying Potentially Deliberate Metaphor in Language Use
Published in
Corpus Pragmatics, October 2017
DOI 10.1007/s41701-017-0026-7
Authors

W. Gudrun Reijnierse, Christian Burgers, Tina Krennmayr, Gerard J. Steen

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 17%
Lecturer 6 9%
Student > Master 6 9%
Researcher 5 7%
Student > Doctoral Student 5 7%
Other 19 28%
Unknown 16 23%
Readers by discipline Count As %
Linguistics 30 43%
Social Sciences 5 7%
Arts and Humanities 5 7%
Unspecified 3 4%
Agricultural and Biological Sciences 2 3%
Other 5 7%
Unknown 19 28%
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 07 August 2018.
All research outputs
#12,764,378
of 23,008,860 outputs
Outputs from Corpus Pragmatics
#23
of 89 outputs
Outputs of similar age
#148,684
of 327,870 outputs
Outputs of similar age from Corpus Pragmatics
#1
of 3 outputs
Altmetric has tracked 23,008,860 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 89 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 73% 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 327,870 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 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