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Automated Bayesian model development for frequency detection in biological time series

Overview of attention for article published in BMC Systems Biology, June 2011
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

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56 Mendeley
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Title
Automated Bayesian model development for frequency detection in biological time series
Published in
BMC Systems Biology, June 2011
DOI 10.1186/1752-0509-5-97
Pubmed ID
Authors

Emma Granqvist, Giles ED Oldroyd, Richard J Morris

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

Geographical breakdown

Country Count As %
United Kingdom 4 7%
Germany 1 2%
Portugal 1 2%
Canada 1 2%
United States 1 2%
Unknown 48 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 34%
Student > Ph. D. Student 14 25%
Student > Master 7 13%
Student > Bachelor 3 5%
Professor > Associate Professor 3 5%
Other 7 13%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 34%
Physics and Astronomy 7 13%
Engineering 7 13%
Computer Science 6 11%
Medicine and Dentistry 4 7%
Other 8 14%
Unknown 5 9%
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 June 2011.
All research outputs
#18,796,327
of 23,294,050 outputs
Outputs from BMC Systems Biology
#837
of 1,144 outputs
Outputs of similar age
#98,089
of 116,439 outputs
Outputs of similar age from BMC Systems Biology
#19
of 29 outputs
Altmetric has tracked 23,294,050 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 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. 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 116,439 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.