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Nonlinear Z‐score modeling for improved detection of cognitive abnormality

Overview of attention for article published in Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, December 2019
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Article details
Title
Nonlinear Z‐score modeling for improved detection of cognitive abnormality
Published in
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, December 2019
DOI 10.1016/j.dadm.2019.08.003
Pubmed ID
Authors

John Kornak, Julie Fields, Walter Kremers, Sara Farmer, Hilary W. Heuer, Leah Forsberg, Danielle Brushaber, Amy Rindels, Hiroko Dodge, Sandra Weintraub, Lilah Besser, Brian Appleby, Yvette Bordelon, Jessica Bove, Patrick Brannelly, Christina Caso, Giovanni Coppola, Reilly Dever, Christina Dheel, Bradford Dickerson, Susan Dickinson, Sophia Dominguez, Kimiko Domoto‐Reilly, Kelley Faber, Jessica Ferrall, Ann Fishman, Jamie Fong, Tatiana Foroud, Ralitza Gavrilova, Deb Gearhart, Behnaz Ghazanfari, Nupur Ghoshal, Jill Goldman, Jonathan Graff‐Radford, Neill Graff‐Radford, Ian M. Grant, Murray Grossman, Dana Haley, John Hsiao, Robin Hsiung, Edward D. Huey, David Irwin, David Jones, Lynne Jones, Kejal Kantarci, Anna Karydas, Daniel Kaufer, Diana Kerwin, David Knopman, Ruth Kraft, Joel Kramer, Walter Kukull, Maria Lapid, Irene Litvan, Peter Ljubenkov, Diane Lucente, Codrin Lungu, Ian Mackenzie, Miranda Maldonado, Masood Manoochehri, Scott McGinnis, Emily McKinley, Mario Mendez, Bruce Miller, Namita Multani, Chiadi Onyike, Jaya Padmanabhan, Alexander Pantelyat, Rodney Pearlman, Len Petrucelli, Madeline Potter, Rosa Rademakers, Eliana Marisa Ramos, Katherine Rankin, Katya Rascovsky, Erik D. Roberson, Emily Rogalski‐Miller, Pheth Sengdy, Les Shaw, Adam M. Staffaroni, Margaret Sutherland, Jeremy Syrjanen, Carmela Tartaglia, Nadine Tatton, Joanne Taylor, Arthur Toga, John Trojanowski, Ping Wang, Bonnie Wong, Zbigniew Wszolek, Brad Boeve, Adam Boxer, Howard Rosen, ARTFL/LEFFTDS Consortium

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 6 12%
Researcher 6 12%
Student > Bachelor 5 10%
Other 4 8%
Professor > Associate Professor 4 8%
Other 11 22%
Unknown 15 29%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 8 16%
Neuroscience 6 12%
Psychology 5 10%
Computer Science 3 6%
Engineering 2 4%
Other 8 16%
Unknown 19 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 December 2019.
All research outputs
#21,757,316
of 27,521,961 outputs
Outputs from Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
#897
of 952 outputs
Outputs of similar age
#354,014
of 486,752 outputs
Outputs of similar age from Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
#23
of 24 outputs
Altmetric has tracked 27,521,961 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 952 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 486,752 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.