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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AlzPharm: integration of neurodegeneration data using RDF
|
|---|---|
| Published in |
BMC Bioinformatics, May 2007
|
| DOI | 10.1186/1471-2105-8-s3-s4 |
| Pubmed ID | |
| Authors |
Hugo YK Lam, Luis Marenco, Tim Clark, Yong Gao, June Kinoshita, Gordon Shepherd, Perry Miller, Elizabeth Wu, Gwendolyn T Wong, Nian Liu, Chiquito Crasto, Thomas Morse, Susie Stephens, Kei-Hoi Cheung |
| Abstract |
Neuroscientists often need to access a wide range of data sets distributed over the Internet. These data sets, however, are typically neither integrated nor interoperable, resulting in a barrier to answering complex neuroscience research questions. Domain ontologies can enable the querying heterogeneous data sets, but they are not sufficient for neuroscience since the data of interest commonly span multiple research domains. To this end, e-Neuroscience seeks to provide an integrated platform for neuroscientists to discover new knowledge through seamless integration of the very diverse types of neuroscience data. Here we present a Semantic Web approach to building this e-Neuroscience framework by using the Resource Description Framework (RDF) and its vocabulary description language, RDF Schema (RDFS), as a standard data model to facilitate both representation and integration of the data. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 6% |
| Brazil | 3 | 3% |
| Spain | 3 | 3% |
| Canada | 2 | 2% |
| Zambia | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Iceland | 1 | <1% |
| Italy | 1 | <1% |
| Other | 4 | 4% |
| Unknown | 89 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 27% |
| Student > Ph. D. Student | 18 | 16% |
| Student > Master | 13 | 12% |
| Other | 10 | 9% |
| Student > Bachelor | 8 | 7% |
| Other | 24 | 21% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 42 | 37% |
| Agricultural and Biological Sciences | 28 | 25% |
| Medicine and Dentistry | 11 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Linguistics | 3 | 3% |
| Other | 11 | 10% |
| Unknown | 15 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 October 2012.
All research outputs
#15,255,201
of 22,684,168 outputs
Outputs from BMC Bioinformatics
#5,362
of 7,252 outputs
Outputs of similar age
#62,120
of 71,908 outputs
Outputs of similar age from BMC Bioinformatics
#40
of 47 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,252 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 71,908 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.