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Predict Disease Progression With Reaction Rate Equation Modeling of Multimodal MRI and PET

Overview of attention for article published in Frontiers in Aging Neuroscience, October 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Predict Disease Progression With Reaction Rate Equation Modeling of Multimodal MRI and PET
Published in
Frontiers in Aging Neuroscience, October 2018
DOI 10.3389/fnagi.2018.00306
Pubmed ID
Authors

Li Su, Yujing Huang, Yi Wang, James Rowe, John O’Brien

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

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 26%
Student > Bachelor 4 17%
Student > Master 3 13%
Student > Ph. D. Student 2 9%
Lecturer 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Neuroscience 3 13%
Chemical Engineering 1 4%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Other 6 26%
Unknown 6 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 13 February 2019.
All research outputs
#2,851,463
of 23,305,591 outputs
Outputs from Frontiers in Aging Neuroscience
#1,176
of 4,937 outputs
Outputs of similar age
#60,719
of 347,180 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#40
of 129 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 75% 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 347,180 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 82% of its contemporaries.
We're also able to compare this research output to 129 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 69% of its contemporaries.