| Title |
Close-Person Spill-Overs in End-of-Life Care: Using Hierarchical Mapping to Identify Whose Outcomes to Include in Economic Evaluations
|
|---|---|
| Published in |
PharmacoEconomics, March 2019
|
| DOI | 10.1007/s40273-019-00786-5 |
| Pubmed ID | |
| Authors |
Alastair Canaway, Hareth Al-Janabi, Philip Kinghorn, Cara Bailey, Joanna Coast |
X Demographics
The data shown below were collected from the profiles of 9 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 | 33% |
| Australia | 1 | 11% |
| New Zealand | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 11% |
| Other | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 6 | 17% |
| Unknown | 14 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 14% |
| Nursing and Health Professions | 4 | 11% |
| Social Sciences | 3 | 8% |
| Economics, Econometrics and Finance | 3 | 8% |
| Psychology | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 17 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 19 March 2019.
All research outputs
#6,816,262
of 25,260,058 outputs
Outputs from PharmacoEconomics
#789
of 1,993 outputs
Outputs of similar age
#118,544
of 358,827 outputs
Outputs of similar age from PharmacoEconomics
#18
of 38 outputs
Altmetric has tracked 25,260,058 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,993 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 60% 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 358,827 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 66% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.