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Models and Simulation of 3D Neuronal Dendritic Trees Using Bayesian Networks

Overview of attention for article published in Neuroinformatics, February 2011
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Mentioned by

patent
3 patents

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
39 Mendeley
citeulike
1 CiteULike
Title
Models and Simulation of 3D Neuronal Dendritic Trees Using Bayesian Networks
Published in
Neuroinformatics, February 2011
DOI 10.1007/s12021-011-9103-4
Pubmed ID
Authors

Pedro L. López-Cruz, Concha Bielza, Pedro Larrañaga, Ruth Benavides-Piccione, Javier DeFelipe

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Germany 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 15%
Researcher 5 13%
Student > Bachelor 5 13%
Professor 4 10%
Student > Doctoral Student 4 10%
Other 11 28%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 23%
Computer Science 7 18%
Neuroscience 4 10%
Engineering 3 8%
Psychology 2 5%
Other 10 26%
Unknown 4 10%
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 10 November 2020.
All research outputs
#7,557,690
of 23,053,613 outputs
Outputs from Neuroinformatics
#147
of 407 outputs
Outputs of similar age
#55,940
of 185,094 outputs
Outputs of similar age from Neuroinformatics
#1
of 4 outputs
Altmetric has tracked 23,053,613 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 407 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 53% 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 185,094 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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