| Title |
Aber-OWL: a framework for ontology-based data access in biology
|
|---|---|
| Published in |
BMC Bioinformatics, January 2015
|
| DOI | 10.1186/s12859-015-0456-9 |
| Pubmed ID | |
| Authors |
Robert Hoehndorf, Luke Slater, Paul N Schofield, Georgios V Gkoutos |
| Abstract |
BackgroundMany ontologies have been developed in biology and these ontologies increasingly contain large volumes of formalized knowledge commonly expressed in the Web Ontology Language (OWL). Computational access to the knowledge contained within these ontologies relies on the use of automated reasoning.ResultsWe have developed the Aber-OWL infrastructure that provides reasoning services for bio-ontologies. Aber-OWL consists of an ontology repository, a set of web services and web interfaces that enable ontology-based semantic access to biological data and literature. Aber-OWL is freely available at http://aber-owl.net.ConclusionsAber-OWL provides a framework for automatically accessing information that is annotated with ontologies or contains terms used to label classes in ontologies. When using Aber-OWL, access to ontologies and data annotated with them is not merely based on class names or identifiers but rather on the knowledge the ontologies contain and the inferences that can be drawn from it. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 13% |
| Canada | 1 | 13% |
| Norway | 1 | 13% |
| Philippines | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 3 | 3% |
| Spain | 3 | 3% |
| United States | 2 | 2% |
| Germany | 1 | 1% |
| Austria | 1 | 1% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| Portugal | 1 | 1% |
| Slovenia | 1 | 1% |
| Other | 3 | 3% |
| Unknown | 77 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 29% |
| Student > Master | 16 | 17% |
| Student > Ph. D. Student | 14 | 15% |
| Student > Bachelor | 9 | 10% |
| Professor > Associate Professor | 6 | 6% |
| Other | 10 | 11% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 39 | 41% |
| Agricultural and Biological Sciences | 18 | 19% |
| Biochemistry, Genetics and Molecular Biology | 9 | 10% |
| Medicine and Dentistry | 5 | 5% |
| Engineering | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 13 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 September 2015.
All research outputs
#6,410,356
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,430
of 7,387 outputs
Outputs of similar age
#87,098
of 355,722 outputs
Outputs of similar age from BMC Bioinformatics
#42
of 130 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
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 gotten more attention than average, scoring higher than 66% 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 355,722 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.