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Database design of regional music characteristic culture resources based on improved neural network in data mining

Overview of attention for article published in Personal and Ubiquitous Computing, November 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Database design of regional music characteristic culture resources based on improved neural network in data mining
Published in
Personal and Ubiquitous Computing, November 2019
DOI 10.1007/s00779-019-01335-9
Authors

Na Zhou

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 18%
Professor > Associate Professor 1 6%
Student > Bachelor 1 6%
Student > Postgraduate 1 6%
Unknown 11 65%
Readers by discipline Count As %
Computer Science 2 12%
Linguistics 1 6%
Social Sciences 1 6%
Engineering 1 6%
Design 1 6%
Other 0 0%
Unknown 11 65%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 November 2019.
All research outputs
#14,398,541
of 23,170,347 outputs
Outputs from Personal and Ubiquitous Computing
#428
of 1,201 outputs
Outputs of similar age
#199,999
of 365,443 outputs
Outputs of similar age from Personal and Ubiquitous Computing
#5
of 30 outputs
Altmetric has tracked 23,170,347 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,201 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 62% of its peers.
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 365,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.