| Title |
NeuroNames: An Ontology for the BrainInfo Portal to Neuroscience on the Web
|
|---|---|
| Published in |
Neuroinformatics, July 2011
|
| DOI | 10.1007/s12021-011-9128-8 |
| Pubmed ID | |
| Authors |
Douglas M. Bowden, Evan Song, Julia Kosheleva, Mark F. Dubach |
| Abstract |
BrainInfo ( http://braininfo.org ) is a growing portal to neuroscientific information on the Web. It is indexed by NeuroNames, an ontology designed to compensate for ambiguities in neuroanatomical nomenclature. The 20-year old ontology continues to evolve toward the ideal of recognizing all names of neuroanatomical entities and accommodating all structural concepts about which neuroscientists communicate, including multiple concepts of entities for which neuroanatomists have yet to determine the best or 'true' conceptualization. To make the definitions of structural concepts unambiguous and terminologically consistent we created a 'default vocabulary' of unique structure names selected from existing terminology. We selected standard names by criteria designed to maximize practicality for use in verbal communication as well as computerized knowledge management. The ontology of NeuroNames accommodates synonyms and homonyms of the standard terms in many languages. It defines complex structures as models composed of primary structures, which are defined in unambiguous operational terms. NeuroNames currently relates more than 16,000 names in eight languages to some 2,500 neuroanatomical concepts. The ontology is maintained in a relational database with three core tables: Names, Concepts and Models. BrainInfo uses NeuroNames to index information by structure, to interpret users' queries and to clarify terminology on remote web pages. NeuroNames is a resource vocabulary of the NLM's Unified Medical Language System (UMLS, 2011) and the basis for the brain regions component of NIFSTD (NeuroLex, 2011). The current version has been downloaded to hundreds of laboratories for indexing data and linking to BrainInfo, which attracts some 400 visitors/day, downloading 2,000 pages/day. |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Russia | 1 | 2% |
| France | 1 | 2% |
| Luxembourg | 1 | 2% |
| Unknown | 55 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 32% |
| Student > Ph. D. Student | 11 | 19% |
| Professor | 6 | 10% |
| Student > Master | 4 | 7% |
| Student > Postgraduate | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 19% |
| Neuroscience | 10 | 17% |
| Computer Science | 9 | 15% |
| Agricultural and Biological Sciences | 6 | 10% |
| Psychology | 5 | 8% |
| Other | 10 | 17% |
| Unknown | 8 | 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 26 August 2017.
All research outputs
#2,932,663
of 23,567,572 outputs
Outputs from Neuroinformatics
#36
of 414 outputs
Outputs of similar age
#14,710
of 121,075 outputs
Outputs of similar age from Neuroinformatics
#1
of 2 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 414 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 91% of its peers.
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We're also able to compare this research output to 2 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