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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ODAE: Ontology-based systematic representation and analysis of drug adverse events and its usage in study of adverse events given different patient age and disease conditions
|
|---|---|
| Published in |
BMC Bioinformatics, May 2019
|
| DOI | 10.1186/s12859-019-2729-1 |
| Pubmed ID | |
| Authors |
Hong Yu, Solomiya Nysak, Noemi Garg, Edison Ong, Xianwei Ye, Xiangyan Zhang, Yongqun He |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 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 % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 18% |
| Student > Ph. D. Student | 4 | 12% |
| Other | 3 | 9% |
| Student > Master | 3 | 9% |
| Lecturer | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 11 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 15% |
| Computer Science | 4 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 14 | 41% |
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 May 2019.
All research outputs
#15,683,389
of 23,305,591 outputs
Outputs from BMC Bioinformatics
#5,476
of 7,379 outputs
Outputs of similar age
#217,941
of 351,037 outputs
Outputs of similar age from BMC Bioinformatics
#128
of 189 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,379 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 351,037 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 189 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.