| Title |
TECH-VER: A Verification Checklist to Reduce Errors in Models and Improve Their Credibility
|
|---|---|
| Published in |
PharmacoEconomics, November 2019
|
| DOI | 10.1007/s40273-019-00844-y |
| Pubmed ID | |
| Authors |
Nasuh C. Büyükkaramikli, Maureen P. M. H. Rutten-van Mölken, Johan L. Severens, Maiwenn Al |
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 % |
|---|---|---|
| United Kingdom | 3 | 27% |
| Netherlands | 2 | 18% |
| New Zealand | 2 | 18% |
| United States | 1 | 9% |
| Canada | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Science communicators (journalists, bloggers, editors) | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 14% |
| Student > Master | 9 | 12% |
| Student > Ph. D. Student | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 31 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
| Medicine and Dentistry | 5 | 6% |
| Nursing and Health Professions | 4 | 5% |
| Economics, Econometrics and Finance | 4 | 5% |
| Business, Management and Accounting | 3 | 4% |
| Other | 18 | 23% |
| Unknown | 38 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 23 February 2021.
All research outputs
#1,238,848
of 23,577,761 outputs
Outputs from PharmacoEconomics
#45
of 1,879 outputs
Outputs of similar age
#28,969
of 367,585 outputs
Outputs of similar age from PharmacoEconomics
#2
of 37 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,879 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 97% 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 367,585 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 92% of its contemporaries.
We're also able to compare this research output to 37 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 94% of its contemporaries.