| Title |
NeuroMorpho.Org Implementation of Digital Neuroscience: Dense Coverage and Integration with the NIF
|
|---|---|
| Published in |
Neuroinformatics, October 2008
|
| DOI | 10.1007/s12021-008-9030-1 |
| Pubmed ID | |
| Authors |
Maryam Halavi, Sridevi Polavaram, Duncan E. Donohue, Gail Hamilton, Jeffrey Hoyt, Kenneth P. Smith, Giorgio A. Ascoli |
| Abstract |
Neuronal morphology affects network connectivity, plasticity, and information processing. Uncovering the design principles and functional consequences of dendritic and axonal shape necessitates quantitative analysis and computational modeling of detailed experimental data. Digital reconstructions provide the required neuromorphological descriptions in a parsimonious, comprehensive, and reliable numerical format. NeuroMorpho.Org is the largest web-accessible repository service for digitally reconstructed neurons and one of the integrated resources in the Neuroscience Information Framework (NIF). Here we describe the NeuroMorpho.Org approach as an exemplary experience in designing, creating, populating, and curating a neuroscience digital resource. The simple three-tier architecture of NeuroMorpho.Org (web client, web server, and relational database) encompasses all necessary elements to support a large-scale, integrate-able repository. The data content, while heterogeneous in scientific scope and experimental origin, is unified in format and presentation by an in house standardization protocol. The server application (MRALD) is secure, customizable, and developer-friendly. Centralized processing and expert annotation yields a comprehensive set of metadata that enriches and complements the raw data. The thoroughly tested interface design allows for optimal and effective data search and retrieval. Availability of data in both original and standardized formats ensures compatibility with existing resources and fosters further tool development. Other key functions enable extensive exploration and discovery, including 3D and interactive visualization of branching, frequently measured morphometrics, and reciprocal links to the original PubMed publications. The integration of NeuroMorpho.Org with version-1 of the NIF (NIFv1) provides the opportunity to access morphological data in the context of other relevant resources and diverse subdomains of neuroscience, opening exciting new possibilities in data mining and knowledge discovery. The outcome of such coordination is the rapid and powerful advancement of neuroscience research at both the conceptual and technological level. |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 6% |
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 59 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 20% |
| Researcher | 11 | 17% |
| Student > Bachelor | 9 | 14% |
| Student > Master | 7 | 11% |
| Student > Doctoral Student | 5 | 8% |
| Other | 11 | 17% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 20% |
| Medicine and Dentistry | 10 | 15% |
| Computer Science | 10 | 15% |
| Neuroscience | 8 | 12% |
| Engineering | 7 | 11% |
| Other | 8 | 12% |
| Unknown | 9 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 18 September 2012.
All research outputs
#3,598,792
of 22,710,079 outputs
Outputs from Neuroinformatics
#57
of 402 outputs
Outputs of similar age
#13,545
of 91,171 outputs
Outputs of similar age from Neuroinformatics
#2
of 10 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 402 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 85% of its peers.
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We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.