| Title |
Innovation in Pharmacovigilance: Use of Artificial Intelligence in Adverse Event Case Processing
|
|---|---|
| Published in |
Clinical Pharmacology & Therapeutics, December 2018
|
| DOI | 10.1002/cpt.1255 |
| Pubmed ID | |
| Authors |
Juergen Schmider, Krishan Kumar, Chantal LaForest, Brian Swankoski, Karen Naim, Patrick M. Caubel |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 5 | 83% |
| United States | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 157 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 18% |
| Student > Ph. D. Student | 15 | 10% |
| Student > Bachelor | 14 | 9% |
| Researcher | 10 | 6% |
| Unspecified | 7 | 4% |
| Other | 26 | 17% |
| Unknown | 56 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 18 | 11% |
| Business, Management and Accounting | 13 | 8% |
| Medicine and Dentistry | 10 | 6% |
| Computer Science | 9 | 6% |
| Engineering | 8 | 5% |
| Other | 37 | 24% |
| Unknown | 62 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 20 October 2022.
All research outputs
#1,535,385
of 24,366,830 outputs
Outputs from Clinical Pharmacology & Therapeutics
#227
of 4,368 outputs
Outputs of similar age
#35,615
of 445,290 outputs
Outputs of similar age from Clinical Pharmacology & Therapeutics
#6
of 52 outputs
Altmetric has tracked 24,366,830 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,368 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done particularly well, scoring higher than 94% 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 445,290 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.