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Using built-in functions of Adobe Acrobat Pro DC to help the selection process in systematic reviews of randomised trials

Overview of attention for article published in Systematic Reviews, February 2016
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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9 X users

Citations

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4 Dimensions

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45 Mendeley
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Title
Using built-in functions of Adobe Acrobat Pro DC to help the selection process in systematic reviews of randomised trials
Published in
Systematic Reviews, February 2016
DOI 10.1186/s13643-016-0207-7
Pubmed ID
Authors

Selin Nur, Clive E. Adams, David F. Brailsford

Abstract

This letter describes a simple way of using Adobe Acrobat Pro DC to help select and auto-extract data from Portable Document Format (PDFs) of randomised trials in order to assist swift early selection of trials for a systematic review.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Norway 1 2%
Canada 1 2%
Unknown 41 91%

Demographic breakdown

Readers by professional status Count As %
Librarian 8 18%
Student > Master 6 13%
Researcher 5 11%
Student > Ph. D. Student 5 11%
Student > Doctoral Student 2 4%
Other 6 13%
Unknown 13 29%
Readers by discipline Count As %
Medicine and Dentistry 8 18%
Psychology 4 9%
Engineering 4 9%
Computer Science 3 7%
Agricultural and Biological Sciences 2 4%
Other 9 20%
Unknown 15 33%
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 01 May 2017.
All research outputs
#7,047,742
of 25,374,647 outputs
Outputs from Systematic Reviews
#1,287
of 2,229 outputs
Outputs of similar age
#90,685
of 312,017 outputs
Outputs of similar age from Systematic Reviews
#25
of 41 outputs
Altmetric has tracked 25,374,647 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 2,229 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 42nd percentile – i.e., 42% 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 312,017 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 70% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.