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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Etiologic subtype predicts outcome in mild stroke: prospective data from a hospital stroke registry
|
|---|---|
| Published in |
BMC Neurology, October 2013
|
| DOI | 10.1186/1471-2377-13-154 |
| Pubmed ID | |
| Authors |
Zilong Hao, Ming Liu, Deren Wang, Bo Wu, Wendan Tao, Xueli Chang |
| Abstract |
Few studies on whether etiologic subtype can predict outcome in mild stroke are available. The study aim to explore the effect of different etiologic subtype on prognosis of these patients. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 25% |
| Egypt | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 20% |
| Student > Ph. D. Student | 7 | 16% |
| Other | 6 | 13% |
| Student > Bachelor | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 10 | 22% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 53% |
| Nursing and Health Professions | 3 | 7% |
| Neuroscience | 3 | 7% |
| Computer Science | 2 | 4% |
| Environmental Science | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 12 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 October 2013.
All research outputs
#13,899,800
of 22,727,570 outputs
Outputs from BMC Neurology
#1,172
of 2,424 outputs
Outputs of similar age
#116,348
of 211,997 outputs
Outputs of similar age from BMC Neurology
#33
of 70 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,424 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 50% 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 211,997 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 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 52% of its contemporaries.