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White Matter Structural Network Analysis to Differentiate Alzheimer’s Disease and Subcortical Ischemic Vascular Dementia

Overview of attention for article published in Frontiers in Aging Neuroscience, March 2021
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Readers on

mendeley
15 Mendeley
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Title
White Matter Structural Network Analysis to Differentiate Alzheimer’s Disease and Subcortical Ischemic Vascular Dementia
Published in
Frontiers in Aging Neuroscience, March 2021
DOI 10.3389/fnagi.2021.650377
Pubmed ID
Authors

Mengmeng Feng, Yue Zhang, Yuanqing Liu, Zhiwei Wu, Ziyang Song, Mengya Ma, Yueju Wang, Hui Dai

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 20%
Student > Master 2 13%
Student > Bachelor 1 7%
Unspecified 1 7%
Researcher 1 7%
Other 1 7%
Unknown 6 40%
Readers by discipline Count As %
Social Sciences 2 13%
Unspecified 1 7%
Nursing and Health Professions 1 7%
Psychology 1 7%
Computer Science 1 7%
Other 2 13%
Unknown 7 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 23 April 2021.
All research outputs
#2,662,629
of 23,308,124 outputs
Outputs from Frontiers in Aging Neuroscience
#963
of 4,938 outputs
Outputs of similar age
#69,875
of 431,907 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#37
of 169 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,938 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 80% 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 431,907 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 83% of its contemporaries.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.