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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clever generation of rich SPARQL queries from annotated relational schema: application to Semantic Web Service creation for biological databases
|
|---|---|
| Published in |
BMC Bioinformatics, April 2013
|
| DOI | 10.1186/1471-2105-14-126 |
| Pubmed ID | |
| Authors |
Julien Wollbrett, Pierre Larmande, Frédéric de Lamotte, Manuel Ruiz |
| Abstract |
In recent years, a large amount of "-omics" data have been produced. However, these data are stored in many different species-specific databases that are managed by different institutes and laboratories. Biologists often need to find and assemble data from disparate sources to perform certain analyses. Searching for these data and assembling them is a time-consuming task. The Semantic Web helps to facilitate interoperability across databases. A common approach involves the development of wrapper systems that map a relational database schema onto existing domain ontologies. However, few attempts have been made to automate the creation of such wrappers. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 27% |
| United Kingdom | 2 | 18% |
| Germany | 1 | 9% |
| India | 1 | 9% |
| France | 1 | 9% |
| Turkey | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Scientists | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Brazil | 1 | 2% |
| Sweden | 1 | 2% |
| United Kingdom | 1 | 2% |
| Greece | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 40 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 35% |
| Other | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 35% |
| Agricultural and Biological Sciences | 15 | 33% |
| Engineering | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Environmental Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 6 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 28 December 2013.
All research outputs
#2,023,218
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#514
of 7,387 outputs
Outputs of similar age
#17,317
of 198,730 outputs
Outputs of similar age from BMC Bioinformatics
#15
of 125 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 93% 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 198,730 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.