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Running pattern of choroidal vessel in en face OCT images determined by machine learning–based quantitative method

Overview of attention for article published in Graefe's Archive of Clinical & Experimental Ophthalmology, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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7 tweeters
Title
Running pattern of choroidal vessel in en face OCT images determined by machine learning–based quantitative method
Published in
Graefe's Archive of Clinical & Experimental Ophthalmology, June 2019
DOI 10.1007/s00417-019-04399-8
Pubmed ID
Authors

Hideki Shiihara, Taiji Sakamoto, Hiroto Terasaki, Naoko Kakiuchi, Yuki Shinohara, Masatoshi Tomita, Shozo Sonoda

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 August 2019.
All research outputs
#3,214,107
of 13,441,497 outputs
Outputs from Graefe's Archive of Clinical & Experimental Ophthalmology
#154
of 1,347 outputs
Outputs of similar age
#38,485
of 132,469 outputs
Outputs of similar age from Graefe's Archive of Clinical & Experimental Ophthalmology
#1
of 27 outputs
Altmetric has tracked 13,441,497 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,347 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 88% 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 132,469 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 70% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.