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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparing Poor and Favorable Outcome Prediction With Machine Learning After Mechanical Thrombectomy in Acute Ischemic Stroke
|
|---|---|
| Published in |
Frontiers in Neurology, May 2022
|
| DOI | 10.3389/fneur.2022.737667 |
| Pubmed ID | |
| Authors |
Matthias A. Mutke, Vince I. Madai, Adam Hilbert, Esra Zihni, Arne Potreck, Charlotte S. Weyland, Markus A. Möhlenbruch, Sabine Heiland, Peter A. Ringleb, Simon Nagel, Martin Bendszus, Dietmar Frey |
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 % |
|---|---|---|
| Germany | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 14% |
| Student > Ph. D. Student | 2 | 10% |
| Other | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Unknown | 14 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 10% |
| Computer Science | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Neuroscience | 1 | 5% |
| Chemistry | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 15 | 71% |
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 30 May 2022.
All research outputs
#15,156,937
of 23,312,088 outputs
Outputs from Frontiers in Neurology
#6,278
of 12,235 outputs
Outputs of similar age
#229,095
of 441,232 outputs
Outputs of similar age from Frontiers in Neurology
#250
of 737 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,235 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 44th percentile – i.e., 44% 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 441,232 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 737 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 60% of its contemporaries.