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Advanced Neuropsychological Diagnostics Infrastructure (ANDI): A Normative Database Created from Control Datasets

Overview of attention for article published in Frontiers in Psychology, October 2016
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Title
Advanced Neuropsychological Diagnostics Infrastructure (ANDI): A Normative Database Created from Control Datasets
Published in
Frontiers in Psychology, October 2016
DOI 10.3389/fpsyg.2016.01601
Pubmed ID
Authors

Nathalie R. de Vent, Joost A. Agelink van Rentergem, Ben A. Schmand, Jaap M. J. Murre, ANDI Consortium, Hilde M. Huizenga

Abstract

In the Advanced Neuropsychological Diagnostics Infrastructure (ANDI), datasets of several research groups are combined into a single database, containing scores on neuropsychological tests from healthy participants. For most popular neuropsychological tests the quantity, and range of these data surpasses that of traditional normative data, thereby enabling more accurate neuropsychological assessment. Because of the unique structure of the database, it facilitates normative comparison methods that were not feasible before, in particular those in which entire profiles of scores are evaluated. In this article, we describe the steps that were necessary to combine the separate datasets into a single database. These steps involve matching variables from multiple datasets, removing outlying values, determining the influence of demographic variables, and finding appropriate transformations to normality. Also, a brief description of the current contents of the ANDI database is given.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 22%
Student > Master 7 17%
Student > Ph. D. Student 5 12%
Student > Bachelor 4 10%
Professor 2 5%
Other 4 10%
Unknown 10 24%
Readers by discipline Count As %
Psychology 11 27%
Neuroscience 10 24%
Medicine and Dentistry 3 7%
Nursing and Health Professions 1 2%
Agricultural and Biological Sciences 1 2%
Other 4 10%
Unknown 11 27%
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 28 December 2016.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from Frontiers in Psychology
#22,913
of 30,996 outputs
Outputs of similar age
#240,606
of 317,327 outputs
Outputs of similar age from Frontiers in Psychology
#374
of 451 outputs
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