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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Early Trajectory of Stroke Severity Predicts Long-Term Functional Outcomes in Ischemic Stroke Subjects
|
|---|---|
| Published in |
Stroke, December 2016
|
| DOI | 10.1161/strokeaha.116.014456 |
| Pubmed ID | |
| Authors |
Tolulope T Sajobi, Bijoy K Menon, Meng Wang, Oluwaseyi Lawal, Ashfaq Shuaib, David Williams, Alexandre Y Poppe, Tudor G Jovin, Leanne K Casaubon, Thomas Devlin, Dar Dowlatshahi, Chris Fanale, Mark W Lowerison, Andrew M Demchuk, Mayank Goyal, Michael D Hill |
X Demographics
The data shown below were collected from the profiles of 25 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 | 5 | 20% |
| United States | 5 | 20% |
| Argentina | 3 | 12% |
| Canada | 1 | 4% |
| Portugal | 1 | 4% |
| Australia | 1 | 4% |
| Ecuador | 1 | 4% |
| Brazil | 1 | 4% |
| Unknown | 7 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 56% |
| Scientists | 7 | 28% |
| Practitioners (doctors, other healthcare professionals) | 4 | 16% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 2% |
| Unknown | 60 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 13% |
| Researcher | 8 | 13% |
| Student > Bachelor | 7 | 11% |
| Student > Doctoral Student | 6 | 10% |
| Other | 5 | 8% |
| Other | 15 | 25% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 44% |
| Neuroscience | 10 | 16% |
| Nursing and Health Professions | 4 | 7% |
| Agricultural and Biological Sciences | 2 | 3% |
| Psychology | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 15 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 04 October 2017.
All research outputs
#2,448,210
of 25,837,817 outputs
Outputs from Stroke
#2,581
of 12,622 outputs
Outputs of similar age
#46,063
of 424,883 outputs
Outputs of similar age from Stroke
#65
of 151 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,622 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 78% 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 424,883 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 151 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 56% of its contemporaries.