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MUBAI: multiagent biometrics for ambient intelligence

Overview of attention for article published in Journal of Ambient Intelligence and Humanized Computing, November 2010
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
14 Mendeley
Title
MUBAI: multiagent biometrics for ambient intelligence
Published in
Journal of Ambient Intelligence and Humanized Computing, November 2010
DOI 10.1007/s12652-010-0030-2
Authors

Andrea F. Abate, Maria De Marsico, Daniel Riccio, Genny Tortora

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Master 3 21%
Professor > Associate Professor 2 14%
Student > Bachelor 2 14%
Professor 1 7%
Other 0 0%
Unknown 2 14%
Readers by discipline Count As %
Computer Science 9 64%
Business, Management and Accounting 1 7%
Agricultural and Biological Sciences 1 7%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 February 2017.
All research outputs
#7,514,847
of 22,950,943 outputs
Outputs from Journal of Ambient Intelligence and Humanized Computing
#53
of 272 outputs
Outputs of similar age
#36,440
of 101,425 outputs
Outputs of similar age from Journal of Ambient Intelligence and Humanized Computing
#1
of 1 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 272 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 67% 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 101,425 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% 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