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Prescreening clinical trial volunteers using an online personality questionnaire

Overview of attention for article published in Neuropsychiatric Disease and Treatment, September 2018
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About this Attention Score

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

Mentioned by

twitter
3 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
12 Mendeley
Title
Prescreening clinical trial volunteers using an online personality questionnaire
Published in
Neuropsychiatric Disease and Treatment, September 2018
DOI 10.2147/ndt.s169469
Pubmed ID
Authors

Fiona Patrick, Allan H Young, Steven CR Williams, Adam M Perkins

Abstract

The cost of a clinical trial is affected by the efficiency of participant recruitment. It would be desirable to create a prescreening method that identifies appropriate candidates for full screening, in order to prevent inconvenience for both trial and volunteers. This study presents an online prescreening tool for this purpose. In order to facilitate recruitment of 24 individuals meeting the criteria for generalized anxiety disorder to a pharmacological functional magnetic resonance imaging trial, we created an online personality questionnaire that generated a personality profile for each respondent and screened for the trial's basic criteria. Our online platform screened 6,293 people for anxious personality traits in 1 year. A total of 862 eligible individuals were identified through this route, each of whom automatically received an email invitation to contact the study team for further telephone screening, if interested. Of those, 266 individuals contacted the team and 173 were telephone screened, with 53 attending the study site for medical checks. Twenty-eight individuals were fully eligible, and 24 completed the trial. This permitted completion on time and on budget. Our online prescreening personality questionnaire platform did not remove the need for telephone screening or onsite medical checks, but increased the efficiency of recruitment through noninvasive identification of those meeting key requirements. Thus, our platform is a useful recruitment technique for clinical trials and is time-saving for both the trial and potential participants.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 42%
Other 1 8%
Professor 1 8%
Student > Master 1 8%
Researcher 1 8%
Other 0 0%
Unknown 3 25%
Readers by discipline Count As %
Psychology 4 33%
Neuroscience 2 17%
Business, Management and Accounting 1 8%
Medicine and Dentistry 1 8%
Unknown 4 33%

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 10 February 2021.
All research outputs
#11,243,146
of 17,370,809 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,575
of 2,663 outputs
Outputs of similar age
#172,068
of 282,756 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#22
of 52 outputs
Altmetric has tracked 17,370,809 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,663 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 32nd percentile – i.e., 32% 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 282,756 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 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.