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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease
|
---|---|
Published in |
Frontiers in Neuroinformatics, January 2013
|
DOI | 10.3389/fninf.2013.00050 |
Pubmed ID | |
Authors |
Denis P. Shamonin, Esther E. Bron, Boudewijn P. F. Lelieveldt, Marion Smits, Stefan Klein, Marius Staring, for the Alzheimer's Disease Neuroimaging Initiative |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 450 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 4 | <1% |
France | 3 | <1% |
United Kingdom | 2 | <1% |
Netherlands | 1 | <1% |
Brazil | 1 | <1% |
South Africa | 1 | <1% |
Denmark | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Other | 0 | 0% |
Unknown | 435 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 119 | 26% |
Student > Master | 76 | 17% |
Researcher | 63 | 14% |
Student > Bachelor | 45 | 10% |
Student > Postgraduate | 19 | 4% |
Other | 57 | 13% |
Unknown | 71 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 93 | 21% |
Medicine and Dentistry | 66 | 15% |
Computer Science | 65 | 14% |
Physics and Astronomy | 35 | 8% |
Agricultural and Biological Sciences | 25 | 6% |
Other | 67 | 15% |
Unknown | 99 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 02 November 2023.
All research outputs
#2,228,306
of 25,837,817 outputs
Outputs from Frontiers in Neuroinformatics
#69
of 847 outputs
Outputs of similar age
#20,631
of 292,453 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#6
of 36 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 847 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 91% 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 292,453 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 92% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.