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Mendeley readers
Attention Score in Context
| Title |
Network-based analysis of vaccine-related associations reveals consistent knowledge with the vaccine ontology
|
|---|---|
| Published in |
Journal of Biomedical Semantics, November 2013
|
| DOI | 10.1186/2041-1480-4-33 |
| Pubmed ID | |
| Authors |
Yuji Zhang, Cui Tao, Yongqun He, Pradip Kanjamala, Hongfang Liu |
| Abstract |
Ontologies are useful in many branches of biomedical research. For instance, in the vaccine domain, the community-based Vaccine Ontology (VO) has been widely used to promote vaccine data standardization, integration, and computer-assisted reasoning. However, a major challenge in the VO has been to construct ontologies of vaccine functions, given incomplete vaccine knowledge and inconsistencies in how this knowledge is manually curated. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 26% |
| Researcher | 4 | 17% |
| Professor | 2 | 9% |
| Student > Bachelor | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 17% |
| Arts and Humanities | 1 | 4% |
| Environmental Science | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 5 | 22% |
| Unknown | 10 | 43% |
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 22 April 2014.
All research outputs
#6,604,748
of 25,394,764 outputs
Outputs from Journal of Biomedical Semantics
#94
of 368 outputs
Outputs of similar age
#55,456
of 225,338 outputs
Outputs of similar age from Journal of Biomedical Semantics
#4
of 21 outputs
Altmetric has tracked 25,394,764 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 368 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 74% 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 225,338 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 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.