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Multimodal analysis using [11C]PiB-PET/MRI for functional evaluation of patients with Alzheimer’s disease

Overview of attention for article published in EJNMMI Research, March 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 567)
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
59 Mendeley
Title
Multimodal analysis using [11C]PiB-PET/MRI for functional evaluation of patients with Alzheimer’s disease
Published in
EJNMMI Research, March 2020
DOI 10.1186/s13550-020-00619-z
Pubmed ID
Authors

Hidehiko Okazawa, Masamichi Ikawa, Minyoung Jung, Rikiya Maruyama, Tetsuya Tsujikawa, Tetsuya Mori, Mahmudur G. M. Rahman, Akira Makino, Yasushi Kiyono, Hirotaka Kosaka

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 12%
Student > Ph. D. Student 5 8%
Student > Bachelor 5 8%
Student > Master 4 7%
Student > Postgraduate 3 5%
Other 8 14%
Unknown 27 46%
Readers by discipline Count As %
Medicine and Dentistry 5 8%
Neuroscience 5 8%
Physics and Astronomy 4 7%
Engineering 3 5%
Nursing and Health Professions 2 3%
Other 7 12%
Unknown 33 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 April 2020.
All research outputs
#3,267,107
of 23,201,298 outputs
Outputs from EJNMMI Research
#32
of 567 outputs
Outputs of similar age
#76,771
of 369,997 outputs
Outputs of similar age from EJNMMI Research
#2
of 23 outputs
Altmetric has tracked 23,201,298 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 567 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 92% 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 369,997 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 79% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.