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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cost and time savings from a rapid access model of care using transient elastography to screen and triage patients with chronic Hepatitis C infection
|
|---|---|
| Published in |
Journal of Medical Economics, December 2013
|
| DOI | 10.3111/13696998.2013.867271 |
| Pubmed ID | |
| Authors |
Jennifer A. Whitty, Caroline Tallis, Kim-Huong Nguyen, Paul A. Scuffham, Paul Crosland, Kaye Hewson, Rehka Pai Mangalore, Marrianne Black, Gerald Holtmann |
| Abstract |
Treatment uptake amongst patients with chronic Hepatitis C virus (HCV) in Australia is relatively low. New approaches to assessment have the potential to reduce public waiting lists, improve access to treatment, and to reduce healthcare costs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 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 | 55 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 23% |
| Student > Master | 9 | 16% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 35% |
| Nursing and Health Professions | 5 | 9% |
| Economics, Econometrics and Finance | 4 | 7% |
| Decision Sciences | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 20 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 December 2013.
All research outputs
#18,355,685
of 22,733,113 outputs
Outputs from Journal of Medical Economics
#1,048
of 1,468 outputs
Outputs of similar age
#231,749
of 306,767 outputs
Outputs of similar age from Journal of Medical Economics
#19
of 23 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,468 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 2nd percentile – i.e., 2% 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 306,767 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.