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A/T/N

Overview of attention for article published in Neurology, July 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
13 news outlets
blogs
3 blogs
twitter
29 X users
patent
4 patents
facebook
1 Facebook page

Citations

dimensions_citation
1263 Dimensions

Readers on

mendeley
902 Mendeley
citeulike
1 CiteULike
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Title
A/T/N
Published in
Neurology, July 2016
DOI 10.1212/wnl.0000000000002923
Pubmed ID
Authors

Clifford R Jack, David A Bennett, Kaj Blennow, Maria C Carrillo, Howard H Feldman, Giovanni B Frisoni, Harald Hampel, William J Jagust, Keith A Johnson, David S Knopman, Ronald C Petersen, Philip Scheltens, Reisa A Sperling, Bruno Dubois

Abstract

Biomarkers have become an essential component of Alzheimer disease (AD) research and because of the pervasiveness of AD pathology in the elderly, the same biomarkers are used in cognitive aging research. A number of current issues suggest that an unbiased descriptive classification scheme for these biomarkers would be useful. We propose the "A/T/N" system in which 7 major AD biomarkers are divided into 3 binary categories based on the nature of the pathophysiology that each measures. "A" refers to the value of a β-amyloid biomarker (amyloid PET or CSF Aβ42); "T," the value of a tau biomarker (CSF phospho tau, or tau PET); and "N," biomarkers of neurodegeneration or neuronal injury ([(18)F]-fluorodeoxyglucose-PET, structural MRI, or CSF total tau). Each biomarker category is rated as positive or negative. An individual score might appear as A+/T+/N-, or A+/T-/N-, etc. The A/T/N system includes the new modality tau PET. It is agnostic to the temporal ordering of mechanisms underlying AD pathogenesis. It includes all individuals in any population regardless of the mix of biomarker findings and therefore is suited to population studies of cognitive aging. It does not specify disease labels and thus is not a diagnostic classification system. It is a descriptive system for categorizing multidomain biomarker findings at the individual person level in a format that is easy to understand and use. Given the present lack of consensus among AD specialists on terminology across the clinically normal to dementia spectrum, a biomarker classification scheme will have broadest acceptance if it is independent from any one clinically defined diagnostic scheme.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 902 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Philippines 1 <1%
United States 1 <1%
Belgium 1 <1%
Unknown 897 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 138 15%
Student > Ph. D. Student 134 15%
Student > Master 81 9%
Student > Bachelor 70 8%
Student > Doctoral Student 48 5%
Other 148 16%
Unknown 283 31%
Readers by discipline Count As %
Neuroscience 165 18%
Medicine and Dentistry 145 16%
Psychology 51 6%
Biochemistry, Genetics and Molecular Biology 49 5%
Engineering 29 3%
Other 127 14%
Unknown 336 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 133. 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 14 March 2024.
All research outputs
#317,081
of 25,998,826 outputs
Outputs from Neurology
#743
of 21,405 outputs
Outputs of similar age
#6,249
of 373,061 outputs
Outputs of similar age from Neurology
#22
of 268 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,405 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one has done particularly well, scoring higher than 96% 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 373,061 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 268 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.