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Mendeley readers
Attention Score in Context
Title |
Unintended consequences of existential quantifications in biomedical ontologies
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Published in |
BMC Bioinformatics, November 2011
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DOI | 10.1186/1471-2105-12-456 |
Pubmed ID | |
Authors |
Martin Boeker, Ilinca Tudose, Janna Hastings, Daniel Schober, Stefan Schulz |
Abstract |
The Open Biomedical Ontologies (OBO) Foundry is a collection of freely available ontologically structured controlled vocabularies in the biomedical domain. Most of them are disseminated via both the OBO Flatfile Format and the semantic web format Web Ontology Language (OWL), which draws upon formal logic. Based on the interpretations underlying OWL description logics (OWL-DL) semantics, we scrutinize the OWL-DL releases of OBO ontologies to assess whether their logical axioms correspond to the meaning intended by their authors. |
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 % |
---|---|---|
Australia | 1 | 13% |
Spain | 1 | 13% |
United States | 1 | 13% |
Sweden | 1 | 13% |
Hong Kong | 1 | 13% |
Bulgaria | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 1 | 13% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 9% |
Netherlands | 2 | 4% |
Brazil | 2 | 4% |
Portugal | 1 | 2% |
South Africa | 1 | 2% |
Sweden | 1 | 2% |
Spain | 1 | 2% |
Canada | 1 | 2% |
Unknown | 43 | 75% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 33% |
Student > Ph. D. Student | 8 | 14% |
Student > Master | 5 | 9% |
Student > Bachelor | 5 | 9% |
Student > Doctoral Student | 4 | 7% |
Other | 12 | 21% |
Unknown | 4 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 20 | 35% |
Agricultural and Biological Sciences | 16 | 28% |
Engineering | 5 | 9% |
Chemistry | 3 | 5% |
Linguistics | 2 | 4% |
Other | 7 | 12% |
Unknown | 4 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 23 January 2012.
All research outputs
#6,305,374
of 24,143,470 outputs
Outputs from BMC Bioinformatics
#2,248
of 7,506 outputs
Outputs of similar age
#53,432
of 246,797 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 111 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,506 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 70% 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 246,797 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 78% of its contemporaries.
We're also able to compare this research output to 111 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 61% of its contemporaries.