| Title |
Estimating Lifetime Benefits Associated with Immuno-Oncology Therapies: Challenges and Approaches for Overall Survival Extrapolations
|
|---|---|
| Published in |
PharmacoEconomics, May 2019
|
| DOI | 10.1007/s40273-019-00806-4 |
| Pubmed ID | |
| Authors |
Mario J. N. M. Ouwens, Pralay Mukhopadhyay, Yiduo Zhang, Min Huang, Nicholas Latimer, Andrew Briggs |
X Demographics
The data shown below were collected from the profiles of 20 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 | 12 | 60% |
| Canada | 1 | 5% |
| Peru | 1 | 5% |
| Australia | 1 | 5% |
| New Zealand | 1 | 5% |
| Unknown | 4 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 75% |
| Scientists | 4 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 16% |
| Student > Master | 6 | 12% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Bachelor | 2 | 4% |
| Other | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 21 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 11 | 22% |
| Medicine and Dentistry | 8 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Nursing and Health Professions | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 24 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 06 February 2021.
All research outputs
#2,282,549
of 24,383,935 outputs
Outputs from PharmacoEconomics
#166
of 1,956 outputs
Outputs of similar age
#48,877
of 355,393 outputs
Outputs of similar age from PharmacoEconomics
#8
of 29 outputs
Altmetric has tracked 24,383,935 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,956 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 91% 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 355,393 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 86% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.