You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Self-Organizing State-Space-Model Approach for Parameter Estimation in Hodgkin-Huxley-Type Models of Single Neurons
|
|---|---|
| Published in |
PLoS Computational Biology, March 2012
|
| DOI | 10.1371/journal.pcbi.1002401 |
| Pubmed ID | |
| Authors |
Dimitrios V. Vavoulis, Volko A. Straub, John A. D. Aston, Jianfeng Feng |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 5% |
| United States | 3 | 3% |
| Germany | 2 | 2% |
| Belgium | 2 | 2% |
| Brazil | 1 | 1% |
| Spain | 1 | 1% |
| Uruguay | 1 | 1% |
| Unknown | 76 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 29% |
| Researcher | 20 | 22% |
| Student > Master | 11 | 12% |
| Professor | 7 | 8% |
| Other | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 23% |
| Engineering | 15 | 16% |
| Mathematics | 13 | 14% |
| Neuroscience | 10 | 11% |
| Computer Science | 8 | 9% |
| Other | 13 | 14% |
| Unknown | 11 | 12% |
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 25 June 2011.
All research outputs
#17,302,400
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#7,481
of 8,964 outputs
Outputs of similar age
#110,451
of 168,206 outputs
Outputs of similar age from PLoS Computational Biology
#82
of 109 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 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 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 168,206 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.