You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Acute stroke CDS: automatic retrieval of thrombolysis contraindications from unstructured clinical letters
|
---|---|
Published in |
Frontiers in Digital Health, June 2023
|
DOI | 10.3389/fdgth.2023.1186516 |
Pubmed ID | |
Authors |
Murray Cutforth, Hannah Watson, Cameron Brown, Chaoyang Wang, Stuart Thomson, Dickon Fell, Vismantas Dilys, Morag Scrimgeour, Patrick Schrempf, James Lesh, Keith Muir, Alexander Weir, Alison Q O’Neil |
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 Kingdom | 4 | 57% |
Switzerland | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 43% |
Scientists | 2 | 29% |
Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Librarian | 1 | 25% |
Student > Master | 1 | 25% |
Unknown | 2 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 50% |
Unknown | 2 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 21 June 2023.
All research outputs
#6,260,169
of 25,383,225 outputs
Outputs from Frontiers in Digital Health
#213
of 816 outputs
Outputs of similar age
#97,292
of 369,124 outputs
Outputs of similar age from Frontiers in Digital Health
#11
of 63 outputs
Altmetric has tracked 25,383,225 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 816 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has gotten more attention than average, scoring higher than 74% 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 369,124 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 73% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.