You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
The Gene Ontology (GO) Cellular Component Ontology: integration with SAO (Subcellular Anatomy Ontology) and other recent developments
|
|---|---|
| Published in |
Journal of Biomedical Semantics, October 2013
|
| DOI | 10.1186/2041-1480-4-20 |
| Pubmed ID | |
| Authors |
Paola Roncaglia, Maryann E Martone, David P Hill, Tanya Z Berardini, Rebecca E Foulger, Fahim T Imam, Harold Drabkin, Christopher J Mungall, Jane Lomax |
| Abstract |
The Gene Ontology (GO) (http://www.geneontology.org/) contains a set of terms for describing the activity and actions of gene products across all kingdoms of life. Each of these activities is executed in a location within a cell or in the vicinity of a cell. In order to capture this context, the GO includes a sub-ontology called the Cellular Component (CC) ontology (GO-CCO). The primary use of this ontology is for GO annotation, but it has also been used for phenotype annotation, and for the annotation of images. Another ontology with similar scope to the GO-CCO is the Subcellular Anatomy Ontology (SAO), part of the Neuroscience Information Framework Standard (NIFSTD) suite of ontologies. The SAO also covers cell components, but in the domain of neuroscience. |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Netherlands | 1 | 1% |
| Canada | 1 | 1% |
| Austria | 1 | 1% |
| Denmark | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 66 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 26% |
| Researcher | 12 | 16% |
| Student > Bachelor | 8 | 11% |
| Student > Master | 6 | 8% |
| Other | 4 | 5% |
| Other | 7 | 10% |
| Unknown | 17 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 27% |
| Computer Science | 14 | 19% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Immunology and Microbiology | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 17 | 23% |
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 08 October 2013.
All research outputs
#20,205,224
of 22,725,280 outputs
Outputs from Journal of Biomedical Semantics
#335
of 364 outputs
Outputs of similar age
#182,903
of 209,115 outputs
Outputs of similar age from Journal of Biomedical Semantics
#3
of 3 outputs
Altmetric has tracked 22,725,280 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 364 research outputs from this source. They receive a mean Attention Score of 4.6. 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 209,115 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 3 others from the same source and published within six weeks on either side of this one.