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Prediction of Amyloid Positivity in Mild Cognitive Impairment Using Fully Automated Brain Segmentation Software

Overview of attention for article published in Neuropsychiatric Disease and Treatment, July 2020
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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 (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
1 news outlet
facebook
1 Facebook page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
32 Mendeley
Title
Prediction of Amyloid Positivity in Mild Cognitive Impairment Using Fully Automated Brain Segmentation Software
Published in
Neuropsychiatric Disease and Treatment, July 2020
DOI 10.2147/ndt.s252293
Pubmed ID
Authors

Koung Mi Kang, Chul-Ho Sohn, Min Soo Byun, Jun Ho Lee, Dahyun Yi, Younghwa Lee, Jun-Young Lee, Yu Kyeong Kim, Bo Kyung Sohn, Roh-Eul Yoo, Tae Jin Yun, Seung Hong Choi, Ji-hoon Kim, Dong Young Lee, On behalf of the KBASE Research Group

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 19%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 9%
Researcher 2 6%
Student > Master 2 6%
Other 3 9%
Unknown 12 38%
Readers by discipline Count As %
Unspecified 6 19%
Medicine and Dentistry 3 9%
Psychology 2 6%
Engineering 2 6%
Neuroscience 2 6%
Other 2 6%
Unknown 15 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 21 August 2020.
All research outputs
#4,786,544
of 25,387,668 outputs
Outputs from Neuropsychiatric Disease and Treatment
#643
of 3,131 outputs
Outputs of similar age
#114,974
of 432,368 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#10
of 60 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 78% 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 432,368 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 73% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.