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The ubiquitous self-organizing map for non-stationary data streams

Overview of attention for article published in Journal of Big Data, December 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user
video
2 YouTube creators

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
30 Mendeley
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Title
The ubiquitous self-organizing map for non-stationary data streams
Published in
Journal of Big Data, December 2015
DOI 10.1186/s40537-015-0033-0
Authors

Bruno Silva, Nuno Cavalheiro Marques

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

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Student > Master 5 17%
Lecturer 2 7%
Student > Doctoral Student 2 7%
Researcher 2 7%
Other 5 17%
Unknown 9 30%
Readers by discipline Count As %
Computer Science 13 43%
Business, Management and Accounting 2 7%
Mathematics 1 3%
Agricultural and Biological Sciences 1 3%
Psychology 1 3%
Other 2 7%
Unknown 10 33%
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 29 March 2016.
All research outputs
#14,720,444
of 23,577,761 outputs
Outputs from Journal of Big Data
#188
of 356 outputs
Outputs of similar age
#208,059
of 393,158 outputs
Outputs of similar age from Journal of Big Data
#5
of 5 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 43rd percentile – i.e., 43% 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 393,158 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 5 others from the same source and published within six weeks on either side of this one.