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Consensus classification of posterior cortical atrophy

Overview of attention for article published in Alzheimer's & Dementia: the Journal of the Alzheimer's Association, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#48 of 4,147)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
58 news outlets
blogs
2 blogs
twitter
43 X users
facebook
4 Facebook pages
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
451 Dimensions

Readers on

mendeley
482 Mendeley
citeulike
1 CiteULike
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Title
Consensus classification of posterior cortical atrophy
Published in
Alzheimer's & Dementia: the Journal of the Alzheimer's Association, March 2017
DOI 10.1016/j.jalz.2017.01.014
Pubmed ID
Authors

Sebastian J. Crutch, Jonathan M. Schott, Gil D. Rabinovici, Melissa Murray, Julie S. Snowden, Wiesje M. van der Flier, Bradford C. Dickerson, Rik Vandenberghe, Samrah Ahmed, Thomas H. Bak, Bradley F. Boeve, Christopher Butler, Stefano F. Cappa, Mathieu Ceccaldi, Leonardo Cruz de Souza, Bruno Dubois, Olivier Felician, Douglas Galasko, Jonathan Graff‐Radford, Neill R. Graff‐Radford, Patrick R. Hof, Pierre Krolak‐Salmon, Manja Lehmann, Eloi Magnin, Mario F. Mendez, Peter J. Nestor, Chiadi U. Onyike, Victoria S. Pelak, Yolande Pijnenburg, Silvia Primativo, Martin N. Rossor, Natalie S. Ryan, Philip Scheltens, Timothy J. Shakespeare, Aida Suárez González, David F. Tang‐Wai, Keir X.X. Yong, Maria Carrillo, Nick C. Fox, Alzheimer's Association ISTAART Atypical Alzheimer's Disease and Associated Syndromes Professional Interest Area

Abstract

A classification framework for posterior cortical atrophy (PCA) is proposed to improve the uniformity of definition of the syndrome in a variety of research settings. Consensus statements about PCA were developed through a detailed literature review, the formation of an international multidisciplinary working party which convened on four occasions, and a Web-based quantitative survey regarding symptom frequency and the conceptualization of PCA. A three-level classification framework for PCA is described comprising both syndrome- and disease-level descriptions. Classification level 1 (PCA) defines the core clinical, cognitive, and neuroimaging features and exclusion criteria of the clinico-radiological syndrome. Classification level 2 (PCA-pure, PCA-plus) establishes whether, in addition to the core PCA syndrome, the core features of any other neurodegenerative syndromes are present. Classification level 3 (PCA attributable to AD [PCA-AD], Lewy body disease [PCA-LBD], corticobasal degeneration [PCA-CBD], prion disease [PCA-prion]) provides a more formal determination of the underlying cause of the PCA syndrome, based on available pathophysiological biomarker evidence. The issue of additional syndrome-level descriptors is discussed in relation to the challenges of defining stages of syndrome severity and characterizing phenotypic heterogeneity within the PCA spectrum. There was strong agreement regarding the definition of the core clinico-radiological syndrome, meaning that the current consensus statement should be regarded as a refinement, development, and extension of previous single-center PCA criteria rather than any wholesale alteration or redescription of the syndrome. The framework and terminology may facilitate the interpretation of research data across studies, be applicable across a broad range of research scenarios (e.g., behavioral interventions, pharmacological trials), and provide a foundation for future collaborative work.

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 482 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Italy 1 <1%
Unknown 479 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 70 15%
Student > Ph. D. Student 55 11%
Student > Master 49 10%
Student > Bachelor 42 9%
Other 41 9%
Other 100 21%
Unknown 125 26%
Readers by discipline Count As %
Medicine and Dentistry 95 20%
Neuroscience 87 18%
Psychology 76 16%
Biochemistry, Genetics and Molecular Biology 12 2%
Nursing and Health Professions 11 2%
Other 46 10%
Unknown 155 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 505. 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 07 February 2024.
All research outputs
#51,847
of 25,738,558 outputs
Outputs from Alzheimer's & Dementia: the Journal of the Alzheimer's Association
#48
of 4,147 outputs
Outputs of similar age
#1,143
of 325,389 outputs
Outputs of similar age from Alzheimer's & Dementia: the Journal of the Alzheimer's Association
#2
of 60 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,147 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.0. This one has done particularly well, scoring higher than 98% 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 325,389 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 99% of its contemporaries.
We're also able to compare this research output to 60 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 96% of its contemporaries.