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An overview of particle methods for random finite set models

Overview of attention for article published in Information Fusion, September 2016
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
32 Mendeley
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Title
An overview of particle methods for random finite set models
Published in
Information Fusion, September 2016
DOI 10.1016/j.inffus.2016.02.004
Authors

Branko Ristic, Michael Beard, Claudio Fantacci

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

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Master 7 22%
Student > Ph. D. Student 6 19%
Unspecified 4 13%
Other 4 13%
Other 3 9%
Readers by discipline Count As %
Engineering 16 50%
Unspecified 6 19%
Computer Science 6 19%
Business, Management and Accounting 1 3%
Mathematics 1 3%
Other 2 6%

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 28 February 2016.
All research outputs
#7,686,374
of 12,301,969 outputs
Outputs from Information Fusion
#99
of 160 outputs
Outputs of similar age
#155,914
of 286,467 outputs
Outputs of similar age from Information Fusion
#1
of 4 outputs
Altmetric has tracked 12,301,969 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 160 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 23rd percentile – i.e., 23% 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 286,467 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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