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Mendeley readers
Attention Score in Context
| Title |
Three-Dimensional Analysis of Spiny Dendrites Using Straightening and Unrolling Transforms
|
|---|---|
| Published in |
Neuroinformatics, May 2012
|
| DOI | 10.1007/s12021-012-9153-2 |
| Pubmed ID | |
| Authors |
Juan Morales, Ruth Benavides-Piccione, Angel Rodríguez, Luis Pastor, Rafael Yuste, Javier DeFelipe |
| Abstract |
Current understanding of the synaptic organization of the brain depends to a large extent on knowledge about the synaptic inputs to the neurons. Indeed, the dendritic surfaces of pyramidal cells (the most common neuron in the cerebral cortex) are covered by thin protrusions named dendritic spines. These represent the targets of most excitatory synapses in the cerebral cortex and therefore, dendritic spines prove critical in learning, memory and cognition. This paper presents a new method that facilitates the analysis of the 3D structure of spine insertions in dendrites, providing insight on spine distribution patterns. This method is based both on the implementation of straightening and unrolling transformations to move the analysis process to a planar, unfolded arrangement, and on the design of DISPINE, an interactive environment that supports the visual analysis of 3D patterns. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 7% |
| France | 1 | 3% |
| Spain | 1 | 3% |
| Japan | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 23 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 31% |
| Student > Ph. D. Student | 8 | 28% |
| Student > Master | 3 | 10% |
| Other | 2 | 7% |
| Librarian | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 24% |
| Neuroscience | 5 | 17% |
| Medicine and Dentistry | 5 | 17% |
| Computer Science | 3 | 10% |
| Nursing and Health Professions | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 March 2013.
All research outputs
#13,366,719
of 22,675,759 outputs
Outputs from Neuroinformatics
#206
of 401 outputs
Outputs of similar age
#91,063
of 164,950 outputs
Outputs of similar age from Neuroinformatics
#2
of 5 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 401 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 47th percentile – i.e., 47% 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 164,950 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.