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Knowledge Discovery from Sensor Data

Overview of attention for book
Attention for Chapter 3: Situation-Aware Adaptive Visualization for Sensory Data Stream Mining
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Mentioned by

twitter
1 tweeter

Citations

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5 Dimensions

Readers on

mendeley
26 Mendeley
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Chapter title
Situation-Aware Adaptive Visualization for Sensory Data Stream Mining
Chapter number 3
Book title
Knowledge Discovery from Sensor Data
Published in
ADS, January 2010
DOI 10.1007/978-3-642-12519-5_3
Book ISBNs
978-3-64-212518-8, 978-3-64-212519-5
Authors

Pari Delir Haghighi, Brett Gillick, Shonali Krishnaswamy, Mohamed Medhat Gaber, Arkady Zaslavsky

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Germany 1 4%
Australia 1 4%
Unknown 23 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Student > Master 5 19%
Other 3 12%
Student > Bachelor 3 12%
Researcher 2 8%
Other 4 15%
Unknown 2 8%
Readers by discipline Count As %
Computer Science 15 58%
Engineering 5 19%
Business, Management and Accounting 1 4%
Psychology 1 4%
Earth and Planetary Sciences 1 4%
Other 1 4%
Unknown 2 8%

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 16 March 2019.
All research outputs
#11,497,519
of 14,504,773 outputs
Outputs from ADS
#21,989
of 26,943 outputs
Outputs of similar age
#204,183
of 277,354 outputs
Outputs of similar age from ADS
#87
of 123 outputs
Altmetric has tracked 14,504,773 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,943 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 11th percentile – i.e., 11% 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 277,354 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.