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Bayesian likelihood-free localisation of a biochemical source using multiple dispersion models

Overview of attention for article published in Signal Processing, March 2015
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Mentioned by

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2 X users

Citations

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22 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Bayesian likelihood-free localisation of a biochemical source using multiple dispersion models
Published in
Signal Processing, March 2015
DOI 10.1016/j.sigpro.2014.08.023
Authors

Branko Ristic, Ajith Gunatilaka, Ralph Gailis, Alex Skvortsov

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

Geographical breakdown

Country Count As %
United Kingdom 1 4%
France 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Researcher 6 21%
Lecturer 3 11%
Professor > Associate Professor 2 7%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 8 29%
Readers by discipline Count As %
Engineering 11 39%
Mathematics 3 11%
Computer Science 1 4%
Earth and Planetary Sciences 1 4%
Physics and Astronomy 1 4%
Other 0 0%
Unknown 11 39%
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 24 November 2014.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from Signal Processing
#961
of 1,423 outputs
Outputs of similar age
#163,954
of 270,992 outputs
Outputs of similar age from Signal Processing
#10
of 14 outputs
Altmetric has tracked 25,374,647 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 1,423 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 21st percentile – i.e., 21% 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 270,992 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.