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Mendeley readers
Attention Score in Context
| Title |
Early economic evaluation of emerging health technologies: protocol of a systematic review
|
|---|---|
| Published in |
Systematic Reviews, July 2014
|
| DOI | 10.1186/2046-4053-3-81 |
| Pubmed ID | |
| Authors |
Ba’ Pham, Hong Anh Thi Tu, Dolly Han, Petros Pechlivanoglou, Fiona Miller, Valeria Rac, Warren Chin, Andrea C Tricco, Mike Paulden, Joanna Bielecki, Murray Krahn |
| Abstract |
The concept of early health technology assessment, discussed well over a decade, has now been collaboratively implemented by industry, government, and academia to select and expedite the development of emerging technologies that may address the needs of patients and health systems. Early economic evaluation is essential to assess the value of emerging technologies, but empirical data to inform the current practice of early evaluation is limited. We propose a systematic review of early economic evaluation studies in order to better understand the current practice. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 60% |
| Colombia | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 58 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 27% |
| Student > Master | 10 | 17% |
| Student > Ph. D. Student | 6 | 10% |
| Professor > Associate Professor | 4 | 7% |
| Other | 4 | 7% |
| Other | 13 | 22% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 28% |
| Engineering | 5 | 8% |
| Economics, Econometrics and Finance | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 7% |
| Nursing and Health Professions | 3 | 5% |
| Other | 12 | 20% |
| Unknown | 15 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 August 2014.
All research outputs
#12,608,967
of 22,759,618 outputs
Outputs from Systematic Reviews
#1,325
of 1,991 outputs
Outputs of similar age
#100,299
of 228,650 outputs
Outputs of similar age from Systematic Reviews
#17
of 29 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,991 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 228,650 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% 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 is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.