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How to write a systematic review of reasons

Overview of attention for article published in Journal of Medical Ethics, November 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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60 X users
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1 Facebook page
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1 Google+ user

Citations

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108 Dimensions

Readers on

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298 Mendeley
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Title
How to write a systematic review of reasons
Published in
Journal of Medical Ethics, November 2011
DOI 10.1136/medethics-2011-100096
Pubmed ID
Authors

Daniel Strech, Neema Sofaer

Abstract

Systematic reviews, which were developed to improve policy-making and clinical decision-making, answer an empirical question based on a minimally biased appraisal of all the relevant empirical studies. A model is presented here for writing systematic reviews of argument-based literature: literature that uses arguments to address conceptual questions, such as whether abortion is morally permissible or whether research participants should be legally entitled to compensation for sustaining research-related injury. Such reviews aim to improve ethically relevant decisions in healthcare, research or policy. They are better tools than informal reviews or samples of literature with respect to the identification of the reasons relevant to a conceptual question, and they enable the setting of agendas for conceptual and empirical research necessary for sound policy-making. This model comprises prescriptions for writing the systematic review's review question and eligibility criteria, the identification of the relevant literature, the type of data to extract on reasons and publications, and the derivation and presentation of results. This paper explains how to adapt the model to the review question, literature reviewed and intended readers, who may be decision-makers or academics. Obstacles to the model's application are described and addressed, and limitations of the model are identified.

X Demographics

X Demographics

The data shown below were collected from the profiles of 60 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 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 2%
Netherlands 2 <1%
Brazil 2 <1%
Italy 2 <1%
Switzerland 1 <1%
Ireland 1 <1%
Australia 1 <1%
Uganda 1 <1%
Portugal 1 <1%
Other 3 1%
Unknown 279 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 60 20%
Student > Ph. D. Student 58 19%
Researcher 28 9%
Student > Doctoral Student 18 6%
Student > Bachelor 17 6%
Other 65 22%
Unknown 52 17%
Readers by discipline Count As %
Medicine and Dentistry 64 21%
Social Sciences 31 10%
Nursing and Health Professions 23 8%
Philosophy 20 7%
Business, Management and Accounting 19 6%
Other 75 25%
Unknown 66 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 30 May 2017.
All research outputs
#1,129,098
of 24,862,067 outputs
Outputs from Journal of Medical Ethics
#327
of 3,626 outputs
Outputs of similar age
#4,794
of 146,913 outputs
Outputs of similar age from Journal of Medical Ethics
#3
of 23 outputs
Altmetric has tracked 24,862,067 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,626 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. This one has done particularly well, scoring higher than 90% 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 146,913 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 96% of its contemporaries.
We're also able to compare this research output to 23 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 91% of its contemporaries.