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A conjoint analysis framework for evaluating user preferences in machine translation

Overview of attention for article published in Machine Translation, May 2013
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

mendeley
36 Mendeley
Title
A conjoint analysis framework for evaluating user preferences in machine translation
Published in
Machine Translation, May 2013
DOI 10.1007/s10590-013-9140-x
Pubmed ID
Authors

Katrin Kirchhoff, Daniel Capurro, Anne M. Turner

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

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Ireland 1 3%
Korea, Republic of 1 3%
Canada 1 3%
Unknown 32 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Researcher 5 14%
Lecturer 5 14%
Student > Ph. D. Student 5 14%
Student > Doctoral Student 3 8%
Other 8 22%
Unknown 3 8%
Readers by discipline Count As %
Linguistics 9 25%
Computer Science 8 22%
Social Sciences 3 8%
Medicine and Dentistry 3 8%
Business, Management and Accounting 2 6%
Other 6 17%
Unknown 5 14%
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 01 June 2015.
All research outputs
#15,333,633
of 22,807,037 outputs
Outputs from Machine Translation
#88
of 129 outputs
Outputs of similar age
#120,346
of 195,345 outputs
Outputs of similar age from Machine Translation
#1
of 1 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 129 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 26th percentile – i.e., 26% 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 195,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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