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Mendeley readers
Attention Score in Context
Title |
Saliva Ontology: An ontology-based framework for a Salivaomics Knowledge Base
|
---|---|
Published in |
BMC Bioinformatics, June 2010
|
DOI | 10.1186/1471-2105-11-302 |
Pubmed ID | |
Authors |
Jiye Ai, Barry Smith, David T Wong |
Abstract |
The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO). |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 1% |
France | 1 | 1% |
Brazil | 1 | 1% |
Sweden | 1 | 1% |
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Unknown | 77 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 18% |
Researcher | 15 | 18% |
Student > Master | 13 | 16% |
Professor | 6 | 7% |
Professor > Associate Professor | 5 | 6% |
Other | 15 | 18% |
Unknown | 14 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 23 | 28% |
Computer Science | 16 | 19% |
Medicine and Dentistry | 15 | 18% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Engineering | 3 | 4% |
Other | 8 | 10% |
Unknown | 15 | 18% |
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 04 June 2010.
All research outputs
#5,692,528
of 22,707,247 outputs
Outputs from BMC Bioinformatics
#2,119
of 7,255 outputs
Outputs of similar age
#27,181
of 95,999 outputs
Outputs of similar age from BMC Bioinformatics
#24
of 71 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,255 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 95,999 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 71 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 66% of its contemporaries.