| Title |
Electrodiffusion models of synaptic potentials in dendritic spines
|
|---|---|
| Published in |
Journal of Computational Neuroscience, August 2019
|
| DOI | 10.1007/s10827-019-00725-5 |
| Pubmed ID | |
| Authors |
Thibault Lagache, Krishna Jayant, Rafael Yuste |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Mexico | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 31% |
| Student > Bachelor | 4 | 11% |
| Student > Master | 4 | 11% |
| Professor | 3 | 9% |
| Researcher | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 8 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 23% |
| Agricultural and Biological Sciences | 5 | 14% |
| Engineering | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 9 | 26% |
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 14 August 2019.
All research outputs
#13,416,706
of 23,153,849 outputs
Outputs from Journal of Computational Neuroscience
#134
of 310 outputs
Outputs of similar age
#165,085
of 342,517 outputs
Outputs of similar age from Journal of Computational Neuroscience
#3
of 3 outputs
Altmetric has tracked 23,153,849 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 310 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 54% 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 342,517 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 50% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.