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Mendeley readers
Attention Score in Context
| Title |
The 40-year history of modeling active dendrites in cerebellar Purkinje cells: emergence of the first single cell “community model”
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, October 2015
|
| DOI | 10.3389/fncom.2015.00129 |
| Pubmed ID | |
| Authors |
James M. Bower |
| Abstract |
The subject of the effects of the active properties of the Purkinje cell dendrite on neuronal function has been an active subject of study for more than 40 years. Somewhat unusually, some of these investigations, from the outset have involved an interacting combination of experimental and model-based techniques. This article recounts that 40-year history, and the view of the functional significance of the active properties of the Purkinje cell dendrite that has emerged. It specifically considers the emergence from these efforts of what is arguably the first single cell "community" model in neuroscience. The article also considers the implications of the development of this model for future studies of the complex properties of neuronal dendrites. |
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 % |
|---|---|---|
| Italy | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Puerto Rico | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 52 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 22% |
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 7 | 13% |
| Professor | 7 | 13% |
| Student > Bachelor | 6 | 11% |
| Other | 5 | 9% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 23 | 43% |
| Agricultural and Biological Sciences | 10 | 19% |
| Engineering | 4 | 7% |
| Physics and Astronomy | 4 | 7% |
| Computer Science | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 9 | 17% |
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 03 February 2020.
All research outputs
#12,876,945
of 22,830,751 outputs
Outputs from Frontiers in Computational Neuroscience
#472
of 1,343 outputs
Outputs of similar age
#125,069
of 283,131 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#15
of 37 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,343 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 64% 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 283,131 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 55% of its contemporaries.
We're also able to compare this research output to 37 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 59% of its contemporaries.