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CancellationTools: All-in-one software for administration and analysis of cancellation tasks

Overview of attention for article published in Behavior Research Methods, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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2 X users
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1 patent

Citations

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51 Dimensions

Readers on

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92 Mendeley
Title
CancellationTools: All-in-one software for administration and analysis of cancellation tasks
Published in
Behavior Research Methods, November 2014
DOI 10.3758/s13428-014-0522-7
Pubmed ID
Authors

Edwin S. Dalmaijer, Stefan Van der Stigchel, Tanja C. W. Nijboer, Tim H. W. Cornelissen, Masud Husain

Abstract

In a cancellation task, a participant is required to search for and cross out ("cancel") targets, which are usually embedded among distractor stimuli. The number of cancelled targets and their location can be used to diagnose the neglect syndrome after stroke. In addition, the organization of search provides a potentially useful way to measure executive control over multitarget search. Although many useful cancellation measures have been introduced, most fail to make their way into research studies and clinical practice due to the practical difficulty of acquiring such parameters from traditional pen-and-paper measures. Here we present new, open-source software that is freely available to all. It allows researchers and clinicians to flexibly administer computerized cancellation tasks using stimuli of their choice, and to directly analyze the data in a convenient manner. The automated analysis suite provides output that includes almost all of the currently existing measures, as well as several new ones introduced here. All tasks can be performed using either a computer mouse or a touchscreen as an input device, and an online version of the task runtime is available for tablet devices. A summary of the results is produced in a single A4-sized PDF document, including high quality data visualizations. For research purposes, batch analysis of large datasets is possible. In sum, CancellationTools allows users to employ a flexible, computerized cancellation task, which provides extensive benefits and ease of use.

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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Germany 1 1%
Italy 1 1%
Unknown 89 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Student > Master 14 15%
Student > Bachelor 12 13%
Researcher 9 10%
Student > Doctoral Student 8 9%
Other 15 16%
Unknown 15 16%
Readers by discipline Count As %
Psychology 44 48%
Neuroscience 11 12%
Computer Science 4 4%
Medicine and Dentistry 4 4%
Nursing and Health Professions 3 3%
Other 6 7%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 October 2021.
All research outputs
#7,148,903
of 25,374,917 outputs
Outputs from Behavior Research Methods
#884
of 2,525 outputs
Outputs of similar age
#74,912
of 276,421 outputs
Outputs of similar age from Behavior Research Methods
#10
of 26 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,525 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 64% 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 276,421 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.