| Title |
A Need for Change! A Coding Framework for Improving Transparency in Decision Modeling
|
|---|---|
| Published in |
PharmacoEconomics, September 2019
|
| DOI | 10.1007/s40273-019-00837-x |
| Pubmed ID | |
| Authors |
Fernando Alarid-Escudero, Eline M. Krijkamp, Petros Pechlivanoglou, Hawre Jalal, Szu-Yu Zoe Kao, Alan Yang, Eva A. Enns |
X Demographics
The data shown below were collected from the profiles of 32 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 | 7 | 22% |
| United Kingdom | 6 | 19% |
| Netherlands | 2 | 6% |
| New Zealand | 2 | 6% |
| Canada | 1 | 3% |
| Mexico | 1 | 3% |
| Unknown | 13 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 63% |
| Scientists | 9 | 28% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 18% |
| Student > Master | 13 | 18% |
| Student > Ph. D. Student | 6 | 8% |
| Other | 5 | 7% |
| Professor > Associate Professor | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 21 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 10% |
| Economics, Econometrics and Finance | 6 | 8% |
| Decision Sciences | 5 | 7% |
| Computer Science | 4 | 6% |
| Social Sciences | 4 | 6% |
| Other | 20 | 28% |
| Unknown | 26 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 36. 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 May 2022.
All research outputs
#1,127,002
of 25,440,205 outputs
Outputs from PharmacoEconomics
#40
of 1,994 outputs
Outputs of similar age
#24,248
of 356,963 outputs
Outputs of similar age from PharmacoEconomics
#3
of 24 outputs
Altmetric has tracked 25,440,205 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,994 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 98% 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 356,963 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 93% of its contemporaries.
We're also able to compare this research output to 24 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 91% of its contemporaries.