You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
The NEI VFQ-25C: Calibrating Items in the National Eye Institute Visual Function Questionnaire-25 to Enable Comparison of Outcome Measures
|
|---|---|
| Published in |
Translational Vision Science & Technology, May 2022
|
| DOI | 10.1167/tvst.11.5.10 |
| Pubmed ID | |
| Authors |
Judith E. Goldstein, Chris Bradley, Alden L. Gross, Marylou Jackson, Neil Bressler, Robert W. Massof |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 1 | 25% |
| Switzerland | 1 | 25% |
| France | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 16% |
| Lecturer | 1 | 5% |
| Other | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 12 | 63% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Psychology | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 13 | 68% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 May 2022.
All research outputs
#14,586,559
of 23,800,390 outputs
Outputs from Translational Vision Science & Technology
#615
of 1,505 outputs
Outputs of similar age
#207,490
of 444,693 outputs
Outputs of similar age from Translational Vision Science & Technology
#35
of 69 outputs
Altmetric has tracked 23,800,390 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,505 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 56% 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 444,693 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 51% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.