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Development of the compact English LVCSR acoustic model for embedded entertainment robot applications

Overview of attention for article published in International Journal of Speech Technology, January 2009
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Mentioned by

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1 patent

Citations

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1 Dimensions

Readers on

mendeley
2 Mendeley
Title
Development of the compact English LVCSR acoustic model for embedded entertainment robot applications
Published in
International Journal of Speech Technology, January 2009
DOI 10.1007/s10772-008-9012-6
Authors

Xavier Menéndez-Pidal, Ajay Patrikar, Lex Olorenshaw, Hitoshi Honda

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 50%
Unknown 1 50%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Linguistics 1 50%
Computer Science 1 50%
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 06 May 2014.
All research outputs
#7,564,477
of 23,073,835 outputs
Outputs from International Journal of Speech Technology
#16
of 81 outputs
Outputs of similar age
#49,403
of 170,932 outputs
Outputs of similar age from International Journal of Speech Technology
#1
of 1 outputs
Altmetric has tracked 23,073,835 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 81 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 29th percentile – i.e., 29% 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 170,932 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% 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