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On Density-Based Data Streams Clustering Algorithms: A Survey

Overview of attention for article published in Journal of Computer Science and Technology, January 2014
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Mentioned by

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1 X user

Citations

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158 Dimensions

Readers on

mendeley
145 Mendeley
Title
On Density-Based Data Streams Clustering Algorithms: A Survey
Published in
Journal of Computer Science and Technology, January 2014
DOI 10.1007/s11390-014-1416-y
Authors

Amineh Amini, Teh Ying Wah, Hadi Saboohi

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

Geographical breakdown

Country Count As %
Brazil 2 1%
Indonesia 1 <1%
Australia 1 <1%
Italy 1 <1%
Canada 1 <1%
United States 1 <1%
Unknown 138 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 28%
Student > Master 26 18%
Researcher 13 9%
Student > Bachelor 9 6%
Professor 7 5%
Other 23 16%
Unknown 26 18%
Readers by discipline Count As %
Computer Science 81 56%
Engineering 15 10%
Social Sciences 2 1%
Linguistics 1 <1%
Agricultural and Biological Sciences 1 <1%
Other 10 7%
Unknown 35 24%
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 30 January 2014.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from Journal of Computer Science and Technology
#197
of 230 outputs
Outputs of similar age
#196,417
of 312,149 outputs
Outputs of similar age from Journal of Computer Science and Technology
#1
of 1 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 230 research outputs from this source. They receive a mean Attention Score of 3.6. 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 312,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them