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Comparing Families of Dynamic Causal Models

Overview of attention for article published in PLoS Computational Biology, March 2010
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Mentioned by

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2 X users

Citations

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616 Dimensions

Readers on

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631 Mendeley
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7 CiteULike
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Title
Comparing Families of Dynamic Causal Models
Published in
PLoS Computational Biology, March 2010
DOI 10.1371/journal.pcbi.1000709
Pubmed ID
Authors

Will D. Penny, Klaas E. Stephan, Jean Daunizeau, Maria J. Rosa, Karl J. Friston, Thomas M. Schofield, Alex P. Leff

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

Geographical breakdown

Country Count As %
Germany 13 2%
United Kingdom 12 2%
United States 10 2%
France 4 <1%
Switzerland 4 <1%
Canada 2 <1%
Japan 2 <1%
Austria 2 <1%
Australia 2 <1%
Other 6 <1%
Unknown 574 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 196 31%
Researcher 133 21%
Student > Master 64 10%
Professor > Associate Professor 35 6%
Student > Bachelor 32 5%
Other 102 16%
Unknown 69 11%
Readers by discipline Count As %
Psychology 127 20%
Neuroscience 117 19%
Agricultural and Biological Sciences 69 11%
Engineering 61 10%
Medicine and Dentistry 60 10%
Other 93 15%
Unknown 104 16%
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 16 September 2018.
All research outputs
#20,112,415
of 25,584,565 outputs
Outputs from PLoS Computational Biology
#8,000
of 9,004 outputs
Outputs of similar age
#93,286
of 103,222 outputs
Outputs of similar age from PLoS Computational Biology
#51
of 55 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,004 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 8th percentile – i.e., 8% 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 103,222 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.