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X Demographics
Mendeley readers
Attention Score in Context
Title |
Oxfordshire community stroke project classification improves prediction of post-thrombolysis symptomatic intracerebral hemorrhage
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Published in |
BMC Neurology, March 2014
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DOI | 10.1186/1471-2377-14-39 |
Pubmed ID | |
Authors |
Sheng-Feng Sung, Solomon Chih-Cheng Chen, Huey-Juan Lin, Chih-Hung Chen, Mei-Chiun Tseng, Chi-Shun Wu, Yung-Chu Hsu, Ling-Chien Hung, Yu-Wei Chen |
Abstract |
The Oxfordshire Community Stroke Project (OCSP) classification is a simple stroke classification system with value in predicting clinical outcomes. We investigated whether and how the addition of OCSP classification to the Safe Implementation of Thrombolysis in Stroke (SITS) symptomatic intracerebral hemorrhage (SICH) risk score improved the predictive performance. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Egypt | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 58 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 16% |
Student > Bachelor | 9 | 16% |
Researcher | 5 | 9% |
Student > Doctoral Student | 4 | 7% |
Student > Ph. D. Student | 4 | 7% |
Other | 10 | 17% |
Unknown | 17 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 22 | 38% |
Neuroscience | 4 | 7% |
Nursing and Health Professions | 3 | 5% |
Psychology | 2 | 3% |
Computer Science | 1 | 2% |
Other | 6 | 10% |
Unknown | 20 | 34% |
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 01 March 2014.
All research outputs
#15,294,762
of 22,745,803 outputs
Outputs from BMC Neurology
#1,478
of 2,427 outputs
Outputs of similar age
#131,774
of 222,148 outputs
Outputs of similar age from BMC Neurology
#46
of 67 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 26th percentile – i.e., 26% 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 222,148 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.