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Attention Score in Context
Title |
The ontology of genetic susceptibility factors (OGSF) and its application in modeling genetic susceptibility to vaccine adverse events
|
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Published in |
Journal of Biomedical Semantics, April 2014
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DOI | 10.1186/2041-1480-5-19 |
Pubmed ID | |
Authors |
Yu Lin, Yongqun He |
Abstract |
Due to human variations in genetic susceptibility, vaccination often triggers adverse events in a small population of vaccinees. Based on our previous work on ontological modeling of genetic susceptibility to disease, we developed an Ontology of Genetic Susceptibility Factors (OGSF), a biomedical ontology in the domain of genetic susceptibility and genetic susceptibility factors. The OGSF framework was then applied in the area of vaccine adverse events (VAEs). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 3% |
Unknown | 33 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 5 | 15% |
Researcher | 5 | 15% |
Student > Master | 5 | 15% |
Student > Ph. D. Student | 4 | 12% |
Student > Bachelor | 3 | 9% |
Other | 7 | 21% |
Unknown | 5 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 21% |
Computer Science | 3 | 9% |
Social Sciences | 3 | 9% |
Agricultural and Biological Sciences | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Other | 10 | 29% |
Unknown | 7 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 June 2016.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from Journal of Biomedical Semantics
#234
of 368 outputs
Outputs of similar age
#139,857
of 241,755 outputs
Outputs of similar age from Journal of Biomedical Semantics
#6
of 10 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 35th percentile – i.e., 35% 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 241,755 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.