| Title |
Automated CT perfusion imaging for acute ischemic stroke: Pearls and pitfalls for real-world use.
|
|---|---|
| Published in |
Neurology, October 2019
|
| DOI | 10.1212/wnl.0000000000008481 |
| Pubmed ID | |
| Authors |
Achala Vagal, Max Wintermark, Kambiz Nael, Andrew Bivard, Mark Parsons, Aaron W Grossman, Pooja Khatri |
X Demographics
The data shown below were collected from the profiles of 81 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 | 19 | 23% |
| Spain | 7 | 9% |
| United Kingdom | 6 | 7% |
| India | 3 | 4% |
| Mexico | 2 | 2% |
| Chile | 2 | 2% |
| Brazil | 2 | 2% |
| Switzerland | 1 | 1% |
| Netherlands | 1 | 1% |
| Other | 6 | 7% |
| Unknown | 32 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 49 | 60% |
| Practitioners (doctors, other healthcare professionals) | 16 | 20% |
| Scientists | 14 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 168 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 19 | 11% |
| Researcher | 17 | 10% |
| Student > Ph. D. Student | 14 | 8% |
| Student > Postgraduate | 14 | 8% |
| Student > Bachelor | 14 | 8% |
| Other | 42 | 25% |
| Unknown | 48 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 54 | 32% |
| Neuroscience | 24 | 14% |
| Computer Science | 3 | 2% |
| Business, Management and Accounting | 3 | 2% |
| Engineering | 3 | 2% |
| Other | 17 | 10% |
| Unknown | 64 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 16 November 2023.
All research outputs
#831,634
of 25,808,886 outputs
Outputs from Neurology
#1,472
of 21,150 outputs
Outputs of similar age
#18,176
of 373,012 outputs
Outputs of similar age from Neurology
#25
of 365 outputs
Altmetric has tracked 25,808,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,150 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has done particularly well, scoring higher than 93% 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 373,012 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 365 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.