| Title |
ModelDB: A Database to Support Computational Neuroscience
|
|---|---|
| Published in |
Journal of Computational Neuroscience, July 2004
|
| DOI | 10.1023/b:jcns.0000023869.22017.2e |
| Pubmed ID | |
| Authors |
Michael L. Hines, Thomas Morse, Michele Migliore, Nicholas T. Carnevale, Gordon M. Shepherd |
| Abstract |
Wider dissemination and testing of computational models are crucial to the field of computational neuroscience. Databases are being developed to meet this need. ModelDB is a web-accessible database for convenient entry, retrieval, and running of published models on different platforms. This article provides a guide to entering a new model into ModelDB. |
Mendeley readers
The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 5% |
| United Kingdom | 4 | 2% |
| Germany | 3 | 1% |
| France | 2 | <1% |
| Spain | 2 | <1% |
| Israel | 1 | <1% |
| India | 1 | <1% |
| New Zealand | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 191 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 57 | 26% |
| Researcher | 48 | 22% |
| Student > Master | 23 | 11% |
| Professor | 17 | 8% |
| Student > Bachelor | 17 | 8% |
| Other | 35 | 16% |
| Unknown | 22 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 34% |
| Neuroscience | 32 | 15% |
| Engineering | 22 | 10% |
| Computer Science | 19 | 9% |
| Medicine and Dentistry | 13 | 6% |
| Other | 28 | 13% |
| Unknown | 30 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 February 2013.
All research outputs
#6,353,003
of 25,373,627 outputs
Outputs from Journal of Computational Neuroscience
#42
of 329 outputs
Outputs of similar age
#17,549
of 59,041 outputs
Outputs of similar age from Journal of Computational Neuroscience
#1
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 329 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 87% 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 59,041 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 70% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them