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Harvesting microblogs for contextual music similarity estimation: a co-occurrence-based framework

Overview of attention for article published in Multimedia Systems, May 2013
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Mentioned by

twitter
1 X user

Citations

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7 Dimensions

Readers on

mendeley
33 Mendeley
Title
Harvesting microblogs for contextual music similarity estimation: a co-occurrence-based framework
Published in
Multimedia Systems, May 2013
DOI 10.1007/s00530-013-0321-5
Authors

Markus Schedl, David Hauger, Julián Urbano

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

Geographical breakdown

Country Count As %
United States 1 3%
Taiwan 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 30%
Student > Master 6 18%
Researcher 3 9%
Student > Bachelor 2 6%
Professor 2 6%
Other 7 21%
Unknown 3 9%
Readers by discipline Count As %
Computer Science 23 70%
Engineering 2 6%
Business, Management and Accounting 1 3%
Arts and Humanities 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 4 12%
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 13 May 2013.
All research outputs
#15,271,909
of 22,710,079 outputs
Outputs from Multimedia Systems
#251
of 285 outputs
Outputs of similar age
#119,697
of 193,636 outputs
Outputs of similar age from Multimedia Systems
#3
of 4 outputs
Altmetric has tracked 22,710,079 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 285 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 5th percentile – i.e., 5% 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 193,636 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 4 others from the same source and published within six weeks on either side of this one.