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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hyperdense Artery Sign in Patients With Acute Ischemic Stroke–Automated Detection With Artificial Intelligence-Driven Software
|
|---|---|
| Published in |
Frontiers in Neurology, April 2022
|
| DOI | 10.3389/fneur.2022.807145 |
| Pubmed ID | |
| Authors |
Charlotte Sabine Weyland, Panagiotis Papanagiotou, Niclas Schmitt, Olivier Joly, Pau Bellot, Yahia Mokli, Peter Arthur Ringleb, A. Kastrup, Markus A. Möhlenbruch, Martin Bendszus, Simon Nagel, Christian Herweh |
X Demographics
The data shown below were collected from the profiles of 24 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 | 17% |
| India | 2 | 8% |
| Canada | 1 | 4% |
| Mexico | 1 | 4% |
| Spain | 1 | 4% |
| Vietnam | 1 | 4% |
| Netherlands | 1 | 4% |
| Germany | 1 | 4% |
| United Kingdom | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 38% |
| Practitioners (doctors, other healthcare professionals) | 8 | 33% |
| Scientists | 7 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Student > Doctoral Student | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 3 | 17% |
| Unknown | 8 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 2 | 11% |
| Engineering | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 11 | 61% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 April 2022.
All research outputs
#2,674,729
of 25,328,635 outputs
Outputs from Frontiers in Neurology
#1,410
of 14,424 outputs
Outputs of similar age
#59,193
of 438,255 outputs
Outputs of similar age from Frontiers in Neurology
#55
of 790 outputs
Altmetric has tracked 25,328,635 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,424 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 90% 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 438,255 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 86% of its contemporaries.
We're also able to compare this research output to 790 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.