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Mendeley readers
Attention Score in Context
| Title |
Validation of mobile eye-tracking as novel and efficient means for differentiating progressive supranuclear palsy from Parkinson's disease
|
|---|---|
| Published in |
Frontiers in Behavioral Neuroscience, January 2012
|
| DOI | 10.3389/fnbeh.2012.00088 |
| Pubmed ID | |
| Authors |
Svenja Marx, Gesine Respondek, Maria Stamelou, Stefan Dowiasch, Josef Stoll, Frank Bremmer, Wolfgang H. Oertel, Günter U. Höglinger, Wolfgang Einhäuser |
| Abstract |
The decreased ability to carry out vertical saccades is a key symptom of Progressive Supranuclear Palsy (PSP). Objective measurement devices can help to reliably detect subtle eye movement disturbances to improve sensitivity and specificity of the clinical diagnosis. The present study aims at transferring findings from restricted stationary video-oculography (VOG) to a wearable head-mounted device, which can be readily applied in clinical practice. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| United States | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 119 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 19% |
| Student > Ph. D. Student | 21 | 17% |
| Student > Master | 15 | 12% |
| Professor | 9 | 7% |
| Student > Bachelor | 8 | 7% |
| Other | 22 | 18% |
| Unknown | 25 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 22% |
| Neuroscience | 18 | 15% |
| Engineering | 9 | 7% |
| Psychology | 7 | 6% |
| Computer Science | 6 | 5% |
| Other | 20 | 16% |
| Unknown | 36 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 September 2014.
All research outputs
#18,379,018
of 22,764,165 outputs
Outputs from Frontiers in Behavioral Neuroscience
#2,594
of 3,160 outputs
Outputs of similar age
#196,169
of 244,307 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#56
of 67 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,160 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 244,307 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.