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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neuromantic – from Semi-Manual to Semi-Automatic Reconstruction of Neuron Morphology
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, January 2012
|
| DOI | 10.3389/fninf.2012.00004 |
| Pubmed ID | |
| Authors |
Darren R. Myatt, Tye Hadlington, Giorgio A. Ascoli, Slawomir J. Nasuto |
| Abstract |
The ability to create accurate geometric models of neuronal morphology is important for understanding the role of shape in information processing. Despite a significant amount of research on automating neuron reconstructions from image stacks obtained via microscopy, in practice most data are still collected manually. This paper describes Neuromantic, an open source system for three dimensional digital tracing of neurites. Neuromantic reconstructions are comparable in quality to those of existing commercial and freeware systems while balancing speed and accuracy of manual reconstruction. The combination of semi-automatic tracing, intuitive editing, and ability of visualizing large image stacks on standard computing platforms provides a versatile tool that can help address the reconstructions availability bottleneck. Practical considerations for reducing the computational time and space requirements of the extended algorithm are also discussed. |
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 | 1 | 25% |
| Luxembourg | 1 | 25% |
| Portugal | 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 6 | 4% |
| United States | 2 | 1% |
| Israel | 1 | <1% |
| Japan | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 142 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 26% |
| Researcher | 31 | 20% |
| Student > Bachelor | 15 | 10% |
| Student > Master | 14 | 9% |
| Professor > Associate Professor | 11 | 7% |
| Other | 21 | 14% |
| Unknown | 21 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 25% |
| Neuroscience | 36 | 24% |
| Computer Science | 17 | 11% |
| Engineering | 10 | 7% |
| Medicine and Dentistry | 8 | 5% |
| Other | 18 | 12% |
| Unknown | 25 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 31 August 2012.
All research outputs
#3,609,849
of 25,759,158 outputs
Outputs from Frontiers in Neuroinformatics
#165
of 848 outputs
Outputs of similar age
#27,403
of 251,832 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#5
of 25 outputs
Altmetric has tracked 25,759,158 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 848 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 80% 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 251,832 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.