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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cost-Effectiveness of Optimizing Acute Stroke Care Services for Thrombolysis
|
|---|---|
| Published in |
Stroke, January 2014
|
| DOI | 10.1161/strokeaha.113.003216 |
| Pubmed ID | |
| Authors |
Maria Cristina Penaloza-Ramos, James P. Sheppard, Sue Jowett, Pelham Barton, Jonathan Mant, Tom Quinn, Ruth M. Mellor, Don Sims, David Sandler, Richard J. McManus, Peter Carr, Sheila Greenfield, Brin Helliwell, Cristina Nand, Norman Phillips, Rob Scott, Satinder Singh, Matthew Ward |
| Abstract |
Thrombolysis in acute stroke is effective up to 4.5 hours after symptom onset but relies on early recognition, prompt arrival in hospital, and timely brain scanning. This study aimed to establish the cost-effectiveness of increasing thrombolysis rates through a series of hypothetical change strategies designed to optimize the acute care pathway for stroke. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 6 | 50% |
| United States | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 50% |
| Members of the public | 4 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Colombia | 1 | 1% |
| Unknown | 84 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 22% |
| Student > Master | 13 | 15% |
| Student > Doctoral Student | 8 | 9% |
| Student > Bachelor | 8 | 9% |
| Student > Ph. D. Student | 7 | 8% |
| Other | 13 | 15% |
| Unknown | 18 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 33% |
| Nursing and Health Professions | 8 | 9% |
| Social Sciences | 7 | 8% |
| Agricultural and Biological Sciences | 5 | 6% |
| Engineering | 4 | 5% |
| Other | 17 | 20% |
| Unknown | 17 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 30 January 2020.
All research outputs
#2,015,546
of 25,373,627 outputs
Outputs from Stroke
#2,108
of 12,372 outputs
Outputs of similar age
#22,360
of 319,344 outputs
Outputs of similar age from Stroke
#16
of 193 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one has done well, scoring higher than 82% 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 319,344 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 193 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 91% of its contemporaries.