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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning in Acute Ischemic Stroke Neuroimaging
|
|---|---|
| Published in |
Frontiers in Neurology, November 2018
|
| DOI | 10.3389/fneur.2018.00945 |
| Pubmed ID | |
| Authors |
Haris Kamal, Victor Lopez, Sunil A. Sheth |
X Demographics
The data shown below were collected from the profiles of 7 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 | 4 | 57% |
| United Kingdom | 1 | 14% |
| Switzerland | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 206 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 14% |
| Researcher | 26 | 13% |
| Student > Ph. D. Student | 24 | 12% |
| Student > Bachelor | 20 | 10% |
| Student > Postgraduate | 9 | 4% |
| Other | 27 | 13% |
| Unknown | 72 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 42 | 20% |
| Engineering | 22 | 11% |
| Computer Science | 19 | 9% |
| Neuroscience | 11 | 5% |
| Biochemistry, Genetics and Molecular Biology | 5 | 2% |
| Other | 24 | 12% |
| Unknown | 83 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 07 January 2019.
All research outputs
#6,841,913
of 23,112,054 outputs
Outputs from Frontiers in Neurology
#4,333
of 12,025 outputs
Outputs of similar age
#123,587
of 352,383 outputs
Outputs of similar age from Frontiers in Neurology
#86
of 342 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 12,025 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 63% 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 352,383 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 342 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 74% of its contemporaries.