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X Demographics
Mendeley readers
Attention Score in Context
| Title |
What's on TV? Detecting age-related neurodegenerative eye disease using eye movement scanpaths
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, November 2014
|
| DOI | 10.3389/fnagi.2014.00312 |
| Pubmed ID | |
| Authors |
David P. Crabb, Nicholas D. Smith, Haogang Zhu |
| Abstract |
We test the hypothesis that age-related neurodegenerative eye disease can be detected by examining patterns of eye movement recorded whilst a person naturally watches a movie. |
X Demographics
The data shown below were collected from the profiles of 23 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 | 6 | 26% |
| United States | 2 | 9% |
| Italy | 2 | 9% |
| Switzerland | 2 | 9% |
| Canada | 1 | 4% |
| Panama | 1 | 4% |
| Unknown | 9 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 65% |
| Scientists | 5 | 22% |
| Practitioners (doctors, other healthcare professionals) | 3 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 113 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 17% |
| Student > Ph. D. Student | 19 | 16% |
| Researcher | 17 | 15% |
| Student > Bachelor | 11 | 9% |
| Student > Postgraduate | 6 | 5% |
| Other | 15 | 13% |
| Unknown | 28 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 17 | 15% |
| Computer Science | 15 | 13% |
| Medicine and Dentistry | 14 | 12% |
| Neuroscience | 12 | 10% |
| Nursing and Health Professions | 8 | 7% |
| Other | 18 | 16% |
| Unknown | 32 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 116. 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 03 June 2019.
All research outputs
#319,370
of 23,577,761 outputs
Outputs from Frontiers in Aging Neuroscience
#66
of 4,973 outputs
Outputs of similar age
#3,425
of 260,734 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#2
of 60 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,973 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done particularly well, scoring higher than 98% 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 260,734 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 98% of its contemporaries.
We're also able to compare this research output to 60 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 96% of its contemporaries.