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Mendeley readers
Attention Score in Context
| Title |
Pupillometric analysis for assessment of gene therapy in Leber Congenital Amaurosis patients
|
|---|---|
| Published in |
BioMedical Engineering OnLine, July 2012
|
| DOI | 10.1186/1475-925x-11-40 |
| Pubmed ID | |
| Authors |
Paolo Melillo, Leandro Pecchia, Francesco Testa, Settimio Rossi, Jean Bennett, Francesca Simonelli |
| Abstract |
Objective techniques to assess the amelioration of vision in patients with impaired visual function are needed to standardize efficacy assessment in gene therapy trials for ocular diseases. Pupillometry has been investigated in several diseases in order to provide objective information about the visual reflex pathway and has been adopted to quantify visual impairment in patients with Leber Congenital Amaurosis (LCA). In this paper, we describe detailed methods of pupillometric analysis and a case study on three Italian patients affected by Leber Congenital Amaurosis (LCA) involved in a gene therapy clinical trial at two follow-up time-points: 1 year and 3 years after therapy administration. |
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 % |
|---|---|---|
| Mexico | 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 2% |
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 48 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Bachelor | 5 | 10% |
| Student > Postgraduate | 5 | 10% |
| Student > Master | 5 | 10% |
| Student > Ph. D. Student | 4 | 8% |
| Other | 9 | 17% |
| Unknown | 14 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 27% |
| Engineering | 4 | 8% |
| Computer Science | 4 | 8% |
| Agricultural and Biological Sciences | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 18 | 35% |
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 19 July 2012.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from BioMedical Engineering OnLine
#607
of 867 outputs
Outputs of similar age
#139,331
of 178,159 outputs
Outputs of similar age from BioMedical Engineering OnLine
#14
of 26 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 15th percentile – i.e., 15% 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 178,159 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 26 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.