↓ Skip to main content

Acuity VEP: improved with machine learning

Overview of attention for article published in Documenta Ophthalmologica, June 2019
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
26 Mendeley
Title
Acuity VEP: improved with machine learning
Published in
Documenta Ophthalmologica, June 2019
DOI 10.1007/s10633-019-09701-x
Pubmed ID
Authors

Michael Bach, Sven P. Heinrich

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 15%
Unspecified 3 12%
Student > Bachelor 3 12%
Student > Master 3 12%
Student > Ph. D. Student 3 12%
Other 5 19%
Unknown 5 19%
Readers by discipline Count As %
Medicine and Dentistry 5 19%
Unspecified 3 12%
Engineering 2 8%
Computer Science 2 8%
Agricultural and Biological Sciences 1 4%
Other 6 23%
Unknown 7 27%
Attention Score in Context

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 12 June 2019.
All research outputs
#20,573,484
of 23,150,406 outputs
Outputs from Documenta Ophthalmologica
#369
of 463 outputs
Outputs of similar age
#300,920
of 353,595 outputs
Outputs of similar age from Documenta Ophthalmologica
#3
of 6 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 463 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 1st percentile – i.e., 1% 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 353,595 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.