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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Eyetracking Metrics in Young Onset Alzheimer’s Disease: A Window into Cognitive Visual Functions
|
|---|---|
| Published in |
Frontiers in Neurology, August 2017
|
| DOI | 10.3389/fneur.2017.00377 |
| Pubmed ID | |
| Authors |
Ivanna M. Pavisic, Nicholas C. Firth, Samuel Parsons, David Martinez Rego, Timothy J. Shakespeare, Keir X. X. Yong, Catherine F. Slattery, Ross W. Paterson, Alexander J. M. Foulkes, Kirsty Macpherson, Amelia M. Carton, Daniel C. Alexander, John Shawe-Taylor, Nick C. Fox, Jonathan M. Schott, Sebastian J. Crutch, Silvia Primativo |
| Abstract |
Young onset Alzheimer's disease (YOAD) is defined as symptom onset before the age of 65 years and is particularly associated with phenotypic heterogeneity. Atypical presentations, such as the clinic-radiological visual syndrome posterior cortical atrophy (PCA), often lead to delays in accurate diagnosis. Eyetracking has been used to demonstrate basic oculomotor impairments in individuals with dementia. In the present study, we aim to explore the relationship between eyetracking metrics and standard tests of visual cognition in individuals with YOAD. Fifty-seven participants were included: 36 individuals with YOAD (n = 26 typical AD; n = 10 PCA) and 21 age-matched healthy controls. Participants completed three eyetracking experiments: fixation, pro-saccade, and smooth pursuit tasks. Summary metrics were used as outcome measures and their predictive value explored looking at correlations with visuoperceptual and visuospatial metrics. Significant correlations between eyetracking metrics and standard visual cognitive estimates are reported. A machine-learning approach using a classification method based on the smooth pursuit raw eyetracking data discriminates with approximately 95% accuracy patients and controls in cross-validation tests. Results suggest that the eyetracking paradigms of a relatively simple and specific nature provide measures not only reflecting basic oculomotor characteristics but also predicting higher order visuospatial and visuoperceptual impairments. Eyetracking measures can represent extremely useful markers during the diagnostic phase and may be exploited as potential outcome measures for clinical trials. |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
| Spain | 1 | 10% |
| Netherlands | 1 | 10% |
| United States | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 155 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 22% |
| Student > Master | 21 | 14% |
| Researcher | 18 | 12% |
| Other | 10 | 6% |
| Student > Bachelor | 10 | 6% |
| Other | 21 | 14% |
| Unknown | 41 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 24 | 15% |
| Neuroscience | 20 | 13% |
| Engineering | 15 | 10% |
| Computer Science | 14 | 9% |
| Medicine and Dentistry | 11 | 7% |
| Other | 20 | 13% |
| Unknown | 51 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 22 August 2017.
All research outputs
#6,164,435
of 22,996,001 outputs
Outputs from Frontiers in Neurology
#4,081
of 11,889 outputs
Outputs of similar age
#97,818
of 317,751 outputs
Outputs of similar age from Frontiers in Neurology
#53
of 198 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 11,889 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 65% 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 317,751 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 69% of its contemporaries.
We're also able to compare this research output to 198 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 73% of its contemporaries.