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Time to rethink the systematic review catechism? Moving from ‘what works’ to ‘what happens’

Overview of attention for article published in Systematic Reviews, March 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 2,249)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

policy
1 policy source
twitter
284 X users
facebook
7 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
117 Dimensions

Readers on

mendeley
309 Mendeley
citeulike
1 CiteULike
Title
Time to rethink the systematic review catechism? Moving from ‘what works’ to ‘what happens’
Published in
Systematic Reviews, March 2015
DOI 10.1186/s13643-015-0027-1
Pubmed ID
Authors

Mark Petticrew

Abstract

Systematic review methods are developing rapidly, and most researchers would recognise their key methodological aspects, such as a closely focussed question, a comprehensive search, and a focus on synthesising 'stronger' rather than 'weaker' evidence. However, it may be helpful to question some of these underlying principles, because while they work well for simpler review questions, they may result in overly narrow approaches to more complex questions and interventions. This commentary discusses some core principles of systematic reviews, and how they may require further rethinking, particularly as reviewers turn their attention to increasingly complex issues, where a Bayesian perspective on evidence synthesis, which would aim to assemble evidence - of different types, if necessary - in order to inform decisions', may be more productive than the 'traditional' systematic review model. Among areas identified for future research are the examination of publication bias in qualitative research; research on the efficiency and potential biases of comprehensive searches in different disciplines; and the use of Bayesian methods in evidence synthesis. The incorporation of a systems perspective into systematic reviews is also an area which needs rapid development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 284 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 309 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 9 3%
United States 2 <1%
Australia 1 <1%
Peru 1 <1%
Canada 1 <1%
Unknown 295 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 68 22%
Researcher 50 16%
Student > Master 43 14%
Student > Doctoral Student 19 6%
Professor 15 5%
Other 73 24%
Unknown 41 13%
Readers by discipline Count As %
Social Sciences 60 19%
Medicine and Dentistry 46 15%
Psychology 38 12%
Nursing and Health Professions 23 7%
Business, Management and Accounting 20 6%
Other 61 20%
Unknown 61 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 170. 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 December 2022.
All research outputs
#242,143
of 25,732,188 outputs
Outputs from Systematic Reviews
#19
of 2,249 outputs
Outputs of similar age
#2,612
of 279,135 outputs
Outputs of similar age from Systematic Reviews
#1
of 46 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,249 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 particularly well, scoring higher than 99% 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 279,135 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.