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Capturing the workflows of music information retrieval for repeatability and reuse

Overview of attention for article published in Journal of Intelligent Information Systems, August 2013
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1 X user

Readers on

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44 Mendeley
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Title
Capturing the workflows of music information retrieval for repeatability and reuse
Published in
Journal of Intelligent Information Systems, August 2013
DOI 10.1007/s10844-013-0260-9
Authors

Kevin R. Page, Ben Fields, David De Roure, Tim Crawford, J. Stephen Downie

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

Geographical breakdown

Country Count As %
Spain 2 5%
United Kingdom 2 5%
Austria 1 2%
Netherlands 1 2%
Italy 1 2%
India 1 2%
Unknown 36 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Student > Master 6 14%
Researcher 6 14%
Lecturer 4 9%
Student > Bachelor 4 9%
Other 8 18%
Unknown 4 9%
Readers by discipline Count As %
Computer Science 22 50%
Engineering 5 11%
Arts and Humanities 2 5%
Mathematics 2 5%
Materials Science 2 5%
Other 7 16%
Unknown 4 9%
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 14 November 2013.
All research outputs
#15,673,476
of 23,289,753 outputs
Outputs from Journal of Intelligent Information Systems
#131
of 183 outputs
Outputs of similar age
#124,422
of 200,417 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#5
of 7 outputs
Altmetric has tracked 23,289,753 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 183 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 13th percentile – i.e., 13% 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 200,417 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.