| Title |
A Comparison Study of Algorithms to Detect Drug–Adverse Event Associations: Frequentist, Bayesian, and Machine-Learning Approaches
|
|---|---|
| Published in |
Drug Safety, February 2019
|
| DOI | 10.1007/s40264-018-00792-0 |
| Pubmed ID | |
| Authors |
Minh Pham, Feng Cheng, Kandethody Ramachandran |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 18% |
| Colombia | 1 | 9% |
| New Zealand | 1 | 9% |
| Belgium | 1 | 9% |
| Uganda | 1 | 9% |
| Ireland | 1 | 9% |
| Sweden | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Scientists | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 14% |
| Researcher | 8 | 14% |
| Student > Master | 8 | 14% |
| Other | 5 | 8% |
| Student > Bachelor | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 16 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 12 | 20% |
| Computer Science | 5 | 8% |
| Medicine and Dentistry | 5 | 8% |
| Business, Management and Accounting | 3 | 5% |
| Engineering | 3 | 5% |
| Other | 11 | 19% |
| Unknown | 20 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 August 2019.
All research outputs
#4,571,944
of 23,130,383 outputs
Outputs from Drug Safety
#479
of 1,709 outputs
Outputs of similar age
#109,873
of 448,097 outputs
Outputs of similar age from Drug Safety
#11
of 33 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,709 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has gotten more attention than average, scoring higher than 71% 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 448,097 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 33 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.