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ANSH: Multimodal Neuroimaging Database Including MR Spectroscopic Data From Each Continent to Advance Alzheimer’s Disease Research

Overview of attention for article published in Frontiers in Neuroinformatics, October 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 (#49 of 783)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
2 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
32 Mendeley
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Title
ANSH: Multimodal Neuroimaging Database Including MR Spectroscopic Data From Each Continent to Advance Alzheimer’s Disease Research
Published in
Frontiers in Neuroinformatics, October 2020
DOI 10.3389/fninf.2020.571039
Pubmed ID
Authors

Pravat K. Mandal, Kanika Sandal, Deepika Shukla, Manjari Tripathi, Kuldeep Singh, Saurav Roy

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 13%
Student > Ph. D. Student 3 9%
Other 2 6%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 3 9%
Unknown 16 50%
Readers by discipline Count As %
Unspecified 4 13%
Neuroscience 2 6%
Psychology 2 6%
Linguistics 1 3%
Nursing and Health Professions 1 3%
Other 5 16%
Unknown 17 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 22 September 2021.
All research outputs
#1,801,724
of 23,934,504 outputs
Outputs from Frontiers in Neuroinformatics
#49
of 783 outputs
Outputs of similar age
#48,283
of 422,846 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#1
of 21 outputs
Altmetric has tracked 23,934,504 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 783 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 93% 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 422,846 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 21 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 99% of its contemporaries.