↓ Skip to main content

KALAKA-3: a database for the assessment of spoken language recognition technology on YouTube audios

Overview of attention for article published in Language Resources and Evaluation, December 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
13 Mendeley
Title
KALAKA-3: a database for the assessment of spoken language recognition technology on YouTube audios
Published in
Language Resources and Evaluation, December 2015
DOI 10.1007/s10579-015-9324-5
Authors

Luis Javier Rodríguez-Fuentes, Mikel Penagarikano, Amparo Varona, Mireia Diez, Germán Bordel

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 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 %
Professor > Associate Professor 2 15%
Researcher 2 15%
Professor 1 8%
Librarian 1 8%
Student > Master 1 8%
Other 0 0%
Unknown 6 46%
Readers by discipline Count As %
Computer Science 2 15%
Linguistics 2 15%
Business, Management and Accounting 1 8%
Social Sciences 1 8%
Engineering 1 8%
Other 0 0%
Unknown 6 46%
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 15 June 2016.
All research outputs
#21,358,731
of 23,854,458 outputs
Outputs from Language Resources and Evaluation
#301
of 331 outputs
Outputs of similar age
#335,636
of 395,036 outputs
Outputs of similar age from Language Resources and Evaluation
#8
of 11 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 331 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% 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 395,036 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.