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X Demographics
Mendeley readers
Attention Score in Context
| Title |
VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data
|
|---|---|
| Published in |
PLoS Computational Biology, January 2014
|
| DOI | 10.1371/journal.pcbi.1003441 |
| Pubmed ID | |
| Authors |
Jean Daunizeau, Vincent Adam, Lionel Rigoux |
| Abstract |
This work is in line with an on-going effort tending toward a computational (quantitative and refutable) understanding of human neuro-cognitive processes. Many sophisticated models for behavioural and neurobiological data have flourished during the past decade. Most of these models are partly unspecified (i.e. they have unknown parameters) and nonlinear. This makes them difficult to peer with a formal statistical data analysis framework. In turn, this compromises the reproducibility of model-based empirical studies. This work exposes a software toolbox that provides generic, efficient and robust probabilistic solutions to the three problems of model-based analysis of empirical data: (i) data simulation, (ii) parameter estimation/model selection, and (iii) experimental design optimization. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| United Kingdom | 1 | 20% |
| Canada | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| United States | 2 | <1% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Australia | 1 | <1% |
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 255 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 80 | 30% |
| Researcher | 54 | 20% |
| Student > Master | 27 | 10% |
| Student > Bachelor | 22 | 8% |
| Student > Postgraduate | 15 | 6% |
| Other | 32 | 12% |
| Unknown | 34 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 67 | 25% |
| Psychology | 53 | 20% |
| Engineering | 20 | 8% |
| Computer Science | 16 | 6% |
| Agricultural and Biological Sciences | 15 | 6% |
| Other | 33 | 13% |
| Unknown | 60 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 03 February 2014.
All research outputs
#7,047,742
of 25,374,647 outputs
Outputs from PLoS Computational Biology
#4,776
of 8,960 outputs
Outputs of similar age
#76,787
of 320,699 outputs
Outputs of similar age from PLoS Computational Biology
#53
of 118 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,960 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 46th percentile – i.e., 46% 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 320,699 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.