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Using orthogonal locality preserving projections to find dominant features for classifying retinal blood vessels

Overview of attention for article published in Multimedia Tools & Applications, August 2018
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
3 Mendeley
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Title
Using orthogonal locality preserving projections to find dominant features for classifying retinal blood vessels
Published in
Multimedia Tools & Applications, August 2018
DOI 10.1007/s11042-018-6474-7
Authors

Devanjali Relan, Lucia Ballerini, Emanuele Trucco, Tom MacGillivray

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Master 1 33%
Unspecified 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Computer Science 1 33%
Engineering 1 33%

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 08 August 2018.
All research outputs
#8,363,984
of 13,343,384 outputs
Outputs from Multimedia Tools & Applications
#359
of 578 outputs
Outputs of similar age
#159,990
of 267,833 outputs
Outputs of similar age from Multimedia Tools & Applications
#6
of 18 outputs
Altmetric has tracked 13,343,384 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 578 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 23rd percentile – i.e., 23% 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 267,833 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.