| Title |
The Neuroscience Information Framework: A Data and Knowledge Environment for Neuroscience
|
|---|---|
| Published in |
Neuroinformatics, October 2008
|
| DOI | 10.1007/s12021-008-9024-z |
| Pubmed ID | |
| Authors |
Daniel Gardner, Huda Akil, Giorgio A. Ascoli, Douglas M. Bowden, William Bug, Duncan E. Donohue, David H. Goldberg, Bernice Grafstein, Jeffrey S. Grethe, Amarnath Gupta, Maryam Halavi, David N. Kennedy, Luis Marenco, Maryann E. Martone, Perry L. Miller, Hans-Michael Müller, Adrian Robert, Gordon M. Shepherd, Paul W. Sternberg, David C. Van Essen, Robert W. Williams |
| Abstract |
With support from the Institutes and Centers forming the NIH Blueprint for Neuroscience Research, we have designed and implemented a new initiative for integrating access to and use of Web-based neuroscience resources: the Neuroscience Information Framework. The Framework arises from the expressed need of the neuroscience community for neuroinformatic tools and resources to aid scientific inquiry, builds upon prior development of neuroinformatics by the Human Brain Project and others, and directly derives from the Society for Neuroscience's Neuroscience Database Gateway. Partnered with the Society, its Neuroinformatics Committee, and volunteer consultant-collaborators, our multi-site consortium has developed: (1) a comprehensive, dynamic, inventory of Web-accessible neuroscience resources, (2) an extended and integrated terminology describing resources and contents, and (3) a framework accepting and aiding concept-based queries. Evolving instantiations of the Framework may be viewed at http://nif.nih.gov , http://neurogateway.org , and other sites as they come on line. |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 6% |
| Germany | 3 | 2% |
| Switzerland | 2 | 1% |
| Spain | 2 | 1% |
| Netherlands | 1 | <1% |
| India | 1 | <1% |
| Mexico | 1 | <1% |
| Luxembourg | 1 | <1% |
| Croatia | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 141 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 25% |
| Student > Ph. D. Student | 35 | 21% |
| Student > Master | 16 | 10% |
| Other | 13 | 8% |
| Professor > Associate Professor | 12 | 7% |
| Other | 32 | 20% |
| Unknown | 14 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 25% |
| Computer Science | 24 | 15% |
| Neuroscience | 16 | 10% |
| Medicine and Dentistry | 16 | 10% |
| Engineering | 10 | 6% |
| Other | 34 | 21% |
| Unknown | 23 | 14% |
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 04 August 2012.
All research outputs
#7,454,427
of 22,789,566 outputs
Outputs from Neuroinformatics
#145
of 404 outputs
Outputs of similar age
#32,304
of 91,188 outputs
Outputs of similar age from Neuroinformatics
#5
of 10 outputs
Altmetric has tracked 22,789,566 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 404 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 53% 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 91,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
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 5 of them.