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Atherosclerotic Plaque Tissue Characterization: An OCT-Based Machine Learning Algorithm With ex vivo Validation

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, July 2020
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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3 X users

Citations

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13 Dimensions

Readers on

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28 Mendeley
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Title
Atherosclerotic Plaque Tissue Characterization: An OCT-Based Machine Learning Algorithm With ex vivo Validation
Published in
Frontiers in Bioengineering and Biotechnology, July 2020
DOI 10.3389/fbioe.2020.00749
Pubmed ID
Authors

Chunliu He, Zhonglin Li, Jiaqiu Wang, Yuxiang Huang, Yifan Yin, Zhiyong Li

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 29%
Student > Master 7 25%
Researcher 3 11%
Student > Doctoral Student 2 7%
Unspecified 2 7%
Other 3 11%
Unknown 3 11%
Readers by discipline Count As %
Engineering 9 32%
Computer Science 3 11%
Unspecified 2 7%
Medicine and Dentistry 2 7%
Nursing and Health Professions 1 4%
Other 5 18%
Unknown 6 21%
Attention Score in Context

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 08 February 2024.
All research outputs
#17,487,539
of 26,430,863 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#2,758
of 8,792 outputs
Outputs of similar age
#269,321
of 436,128 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#199
of 472 outputs
Altmetric has tracked 26,430,863 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,792 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 63% 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 436,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 472 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.