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Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer’s Disease Diagnosis

Overview of attention for article published in Neuroinformatics, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 425)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
2 news outlets
patent
2 patents

Citations

dimensions_citation
270 Dimensions

Readers on

mendeley
274 Mendeley
Title
Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer’s Disease Diagnosis
Published in
Neuroinformatics, March 2018
DOI 10.1007/s12021-018-9370-4
Pubmed ID
Authors

Manhua Liu, Danni Cheng, Kundong Wang, Yaping Wang, the Alzheimer’s Disease Neuroimaging Initiative

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 274 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 14%
Student > Master 39 14%
Researcher 28 10%
Student > Bachelor 21 8%
Other 15 5%
Other 32 12%
Unknown 100 36%
Readers by discipline Count As %
Computer Science 63 23%
Engineering 34 12%
Neuroscience 15 5%
Medicine and Dentistry 13 5%
Psychology 5 2%
Other 27 10%
Unknown 117 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 03 March 2024.
All research outputs
#1,814,569
of 25,401,784 outputs
Outputs from Neuroinformatics
#10
of 425 outputs
Outputs of similar age
#39,034
of 346,688 outputs
Outputs of similar age from Neuroinformatics
#3
of 13 outputs
Altmetric has tracked 25,401,784 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 425 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 346,688 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 88% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.