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Single screen of citations with excluded terms: an approach to citation screening in systematic reviews

Overview of attention for article published in Systematic Reviews, July 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
twitter
10 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Single screen of citations with excluded terms: an approach to citation screening in systematic reviews
Published in
Systematic Reviews, July 2018
DOI 10.1186/s13643-018-0782-x
Pubmed ID
Authors

Brittany U. Carter

Abstract

Citation screening during the systematic review process can be time-consuming due to the exponentially increasing amount of research. This letter describes an approach to expediting the process by single screening citations that include terms in the abstract and/or keywords related to the exclusion criteria of the systematic review to quickly reject studies with a high likelihood of being excluded from the systematic review. This method can potentially improve the efficiency of the citation screening process while maintaining the quality of the systematic review; however, future research is needed to further validate this approach.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Librarian 3 18%
Researcher 2 12%
Student > Ph. D. Student 2 12%
Lecturer 1 6%
Other 1 6%
Unknown 3 18%
Readers by discipline Count As %
Computer Science 3 18%
Social Sciences 3 18%
Psychology 3 18%
Medicine and Dentistry 2 12%
Business, Management and Accounting 1 6%
Other 2 12%
Unknown 3 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 04 March 2019.
All research outputs
#2,743,105
of 25,019,109 outputs
Outputs from Systematic Reviews
#487
of 2,184 outputs
Outputs of similar age
#53,565
of 335,907 outputs
Outputs of similar age from Systematic Reviews
#15
of 52 outputs
Altmetric has tracked 25,019,109 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,184 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 77% 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 335,907 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
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 73% of its contemporaries.