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Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms

Overview of attention for article published in Frontiers in Neurology, August 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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3 X users

Citations

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2 Dimensions

Readers on

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16 Mendeley
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Title
Predicting progression to dementia with “comprehensive visual rating scale” and machine learning algorithms
Published in
Frontiers in Neurology, August 2022
DOI 10.3389/fneur.2022.906257
Pubmed ID
Authors

Chaeyoon Park, Jae-Won Jang, Gihun Joo, Yeshin Kim, Seongheon Kim, Gihwan Byeon, Sang Won Park, Payam Hosseinzadeh Kasani, Sujin Yum, Jung-Min Pyun, Young Ho Park, Jae-Sung Lim, Young Chul Youn, Hyun-Soo Choi, Chihyun Park, Hyeonseung Im, SangYun Kim

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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 13%
Student > Bachelor 2 13%
Lecturer 1 6%
Researcher 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 9 56%
Readers by discipline Count As %
Medicine and Dentistry 3 19%
Nursing and Health Professions 1 6%
Chemical Engineering 1 6%
Psychology 1 6%
Immunology and Microbiology 1 6%
Other 0 0%
Unknown 9 56%
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 08 September 2022.
All research outputs
#18,733,166
of 23,885,338 outputs
Outputs from Frontiers in Neurology
#7,565
of 12,926 outputs
Outputs of similar age
#285,523
of 416,926 outputs
Outputs of similar age from Frontiers in Neurology
#316
of 840 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,926 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 35th percentile – i.e., 35% 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 416,926 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 840 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 56% of its contemporaries.