| Title |
Machine Learning–Based Model for Prediction of Outcomes in Acute Stroke
|
|---|---|
| Published in |
Stroke, May 2019
|
| DOI | 10.1161/strokeaha.118.024293 |
| Pubmed ID | |
| Authors |
JoonNyung Heo, Jihoon G Yoon, Hyungjong Park, Young Dae Kim, Hyo Suk Nam, Ji Hoe Heo |
X Demographics
The data shown below were collected from the profiles of 18 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 States | 7 | 39% |
| Canada | 2 | 11% |
| United Kingdom | 2 | 11% |
| Nigeria | 1 | 6% |
| Czechia | 1 | 6% |
| Italy | 1 | 6% |
| Spain | 1 | 6% |
| Unknown | 3 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 72% |
| Scientists | 3 | 17% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 391 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 391 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 9% |
| Student > Bachelor | 36 | 9% |
| Student > Master | 33 | 8% |
| Researcher | 31 | 8% |
| Student > Doctoral Student | 14 | 4% |
| Other | 52 | 13% |
| Unknown | 189 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 56 | 14% |
| Computer Science | 39 | 10% |
| Engineering | 19 | 5% |
| Neuroscience | 17 | 4% |
| Biochemistry, Genetics and Molecular Biology | 7 | 2% |
| Other | 42 | 11% |
| Unknown | 211 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 23 May 2022.
All research outputs
#3,332,380
of 24,274,366 outputs
Outputs from Stroke
#3,429
of 12,043 outputs
Outputs of similar age
#69,489
of 354,406 outputs
Outputs of similar age from Stroke
#76
of 172 outputs
Altmetric has tracked 24,274,366 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one has gotten more attention than average, scoring higher than 71% 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 354,406 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 80% of its contemporaries.
We're also able to compare this research output to 172 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.