↓ Skip to main content

3D-Deep Learning Based Automatic Diagnosis of Alzheimer’s Disease with Joint MMSE Prediction Using Resting-State fMRI

Overview of attention for article published in Neuroinformatics, May 2019
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 218)
  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
Title
3D-Deep Learning Based Automatic Diagnosis of Alzheimer’s Disease with Joint MMSE Prediction Using Resting-State fMRI
Published in
Neuroinformatics, May 2019
DOI 10.1007/s12021-019-09419-w
Pubmed ID
Authors

Nguyen Thanh Duc, Seungjun Ryu, Muhammad Naveed Iqbal Qureshi, Min Choi, Kun Ho Lee, Boreom Lee

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 38%
Researcher 2 25%
Student > Bachelor 1 13%
Student > Postgraduate 1 13%
Unspecified 1 13%
Other 0 0%
Readers by discipline Count As %
Engineering 3 38%
Neuroscience 3 38%
Unspecified 2 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 24 May 2019.
All research outputs
#2,096,830
of 13,122,286 outputs
Outputs from Neuroinformatics
#29
of 218 outputs
Outputs of similar age
#44,416
of 189,071 outputs
Outputs of similar age from Neuroinformatics
#1
of 1 outputs
Altmetric has tracked 13,122,286 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 218 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 81% 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 189,071 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them