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Mendeley readers
Attention Score in Context
| Title |
Semantic web data warehousing for caGrid
|
|---|---|
| Published in |
BMC Bioinformatics, October 2009
|
| DOI | 10.1186/1471-2105-10-s10-s2 |
| Pubmed ID | |
| Authors |
Jamie P McCusker, Joshua A Phillips, Alejandra González Beltrán, Anthony Finkelstein, Michael Krauthammer |
| Abstract |
The National Cancer Institute (NCI) is developing caGrid as a means for sharing cancer-related data and services. As more data sets become available on caGrid, we need effective ways of accessing and integrating this information. Although the data models exposed on caGrid are semantically well annotated, it is currently up to the caGrid client to infer relationships between the different models and their classes. In this paper, we present a Semantic Web-based data warehouse (Corvus) for creating relationships among caGrid models. This is accomplished through the transformation of semantically-annotated caBIG Unified Modeling Language (UML) information models into Web Ontology Language (OWL) ontologies that preserve those semantics. We demonstrate the validity of the approach by Semantic Extraction, Transformation and Loading (SETL) of data from two caGrid data sources, caTissue and caArray, as well as alignment and query of those sources in Corvus. We argue that semantic integration is necessary for integration of data from distributed web services and that Corvus is a useful way of accomplishing this. Our approach is generalizable and of broad utility to researchers facing similar integration challenges. |
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 Kingdom | 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 6% |
| Brazil | 2 | 3% |
| United Kingdom | 2 | 3% |
| Netherlands | 1 | 1% |
| Sweden | 1 | 1% |
| Austria | 1 | 1% |
| Iceland | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 66 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 20% |
| Student > Ph. D. Student | 14 | 18% |
| Student > Master | 10 | 13% |
| Other | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Other | 21 | 26% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 36 | 45% |
| Agricultural and Biological Sciences | 14 | 18% |
| Medicine and Dentistry | 11 | 14% |
| Engineering | 4 | 5% |
| Linguistics | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 6 | 8% |
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 15 July 2021.
All research outputs
#20,202,510
of 22,721,584 outputs
Outputs from BMC Bioinformatics
#6,833
of 7,261 outputs
Outputs of similar age
#89,235
of 93,271 outputs
Outputs of similar age from BMC Bioinformatics
#56
of 58 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,261 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 1st percentile – i.e., 1% 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 93,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.