Title |
Dose-Specific Adverse Drug Reaction Identification in Electronic Patient Records: Temporal Data Mining in an Inpatient Psychiatric Population
|
---|---|
Published in |
Drug Safety, March 2014
|
DOI | 10.1007/s40264-014-0145-z |
Pubmed ID | |
Authors |
Robert Eriksson, Thomas Werge, Lars Juhl Jensen, Søren Brunak |
Abstract |
Data collected for medical, filing and administrative purposes in electronic patient records (EPRs) represent a rich source of individualised clinical data, which has great potential for improved detection of patients experiencing adverse drug reactions (ADRs), across all approved drugs and across all indication areas. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Luxembourg | 2 | 20% |
United States | 2 | 20% |
United Kingdom | 1 | 10% |
Australia | 1 | 10% |
Spain | 1 | 10% |
Unknown | 3 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 50% |
Members of the public | 3 | 30% |
Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 3 | 2% |
United States | 2 | 1% |
United Kingdom | 2 | 1% |
Netherlands | 1 | <1% |
Chile | 1 | <1% |
Malaysia | 1 | <1% |
Germany | 1 | <1% |
Switzerland | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 128 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 15% |
Student > Ph. D. Student | 20 | 14% |
Student > Master | 19 | 13% |
Student > Bachelor | 14 | 10% |
Other | 9 | 6% |
Other | 35 | 25% |
Unknown | 23 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 39 | 27% |
Computer Science | 22 | 15% |
Agricultural and Biological Sciences | 13 | 9% |
Pharmacology, Toxicology and Pharmaceutical Science | 11 | 8% |
Biochemistry, Genetics and Molecular Biology | 6 | 4% |
Other | 22 | 15% |
Unknown | 29 | 20% |
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 05 October 2017.
All research outputs
#4,869,680
of 24,143,470 outputs
Outputs from Drug Safety
#509
of 1,755 outputs
Outputs of similar age
#45,814
of 225,542 outputs
Outputs of similar age from Drug Safety
#7
of 19 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,755 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 70% 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 225,542 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 79% of its contemporaries.
We're also able to compare this research output to 19 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 68% of its contemporaries.