| Title |
Estimating parameters and predicting membrane voltages with conductance-based neuron models
|
|---|---|
| Published in |
Biological Cybernetics, June 2014
|
| DOI | 10.1007/s00422-014-0615-5 |
| Pubmed ID | |
| Authors |
C. Daniel Meliza, Mark Kostuk, Hao Huang, Alain Nogaret, Daniel Margoliash, Henry D. I. Abarbanel |
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 % |
|---|---|---|
| United States | 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 6% |
| United Kingdom | 2 | 3% |
| France | 1 | 1% |
| Unknown | 60 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 34% |
| Researcher | 11 | 16% |
| Student > Master | 6 | 9% |
| Student > Postgraduate | 4 | 6% |
| Professor > Associate Professor | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 13 | 19% |
| Neuroscience | 12 | 18% |
| Agricultural and Biological Sciences | 10 | 15% |
| Physics and Astronomy | 6 | 9% |
| Computer Science | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 11 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 09 November 2023.
All research outputs
#7,782,110
of 24,946,857 outputs
Outputs from Biological Cybernetics
#179
of 697 outputs
Outputs of similar age
#69,600
of 233,628 outputs
Outputs of similar age from Biological Cybernetics
#3
of 4 outputs
Altmetric has tracked 24,946,857 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 697 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 73% 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 233,628 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
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.