| Title |
Integrating Machine Learning With Microsimulation to Classify Hypothetical, Novel Patients for Predicting Pregabalin Treatment Response Based on Observational and Randomized Data in Patients With Painful Diabetic Peripheral Neuropathy
|
|---|---|
| Published in |
Pragmatic and Observational Research, October 2019
|
| DOI | 10.2147/por.s214412 |
| Pubmed ID | |
| Authors |
Joe Alexander, Roger A Edwards, Luigi Manca, Roberto Grugni, Gianluca Bonfanti, Birol Emir, Ed Whalen, Steve Watt, Marina Brodsky, Bruce Parsons |
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 % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 16% |
| Student > Master | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Lecturer | 1 | 4% |
| Other | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 8% |
| Nursing and Health Professions | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Decision Sciences | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 14 | 56% |
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 31 October 2019.
All research outputs
#20,247,404
of 25,748,735 outputs
Outputs from Pragmatic and Observational Research
#1
of 1 outputs
Outputs of similar age
#262,532
of 364,030 outputs
Outputs of similar age from Pragmatic and Observational Research
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.8. This one scored the same or higher as 0 of them.
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 364,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them