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A methodological survey of the analysis, reporting and interpretation of Absolute Risk ReductiOn in systematic revieWs (ARROW): a study protocol

Overview of attention for article published in Systematic Reviews, December 2013
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2 X users

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Title
A methodological survey of the analysis, reporting and interpretation of Absolute Risk ReductiOn in systematic revieWs (ARROW): a study protocol
Published in
Systematic Reviews, December 2013
DOI 10.1186/2046-4053-2-113
Pubmed ID
Authors

Pablo Alonso-Coello, Alonso Carrasco-Labra, Romina Brignardello-Petersen, Ignacio Neumann, Elie A Akl, Xin Sun, Bradley C Johnston, Matthias Briel, Jason W Busse, Demián Glujovsky, Carlos E Granados, Alfonso Iorio, Affan Irfan, Laura M García, Reem A Mustafa, Anggie Ramirez-Morera, Iván Solà, Kari A O Tikkinen, Shanil Ebrahim, Per O Vandvik, Yuqing Zhang, Anna Selva, Andrea J Sanabria, Oscar E Zazueta, Robin W M Vernooij, Holger J Schünemann, Gordon H Guyatt

Abstract

Clinicians, providers and guideline panels use absolute effects to weigh the advantages and downsides of treatment alternatives. Relative measures have the potential to mislead readers. However, little is known about the reporting of absolute measures in systematic reviews. The objectives of our study are to determine the proportion of systematic reviews that report absolute measures of effect for the most important outcomes, and ascertain how they are analyzed, reported and interpreted.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 5%
Spain 1 3%
Unknown 34 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 27%
Student > Doctoral Student 4 11%
Professor > Associate Professor 4 11%
Professor 3 8%
Other 2 5%
Other 5 14%
Unknown 9 24%
Readers by discipline Count As %
Medicine and Dentistry 17 46%
Social Sciences 2 5%
Agricultural and Biological Sciences 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Business, Management and Accounting 1 3%
Other 4 11%
Unknown 10 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 January 2014.
All research outputs
#14,186,260
of 22,738,543 outputs
Outputs from Systematic Reviews
#1,495
of 1,988 outputs
Outputs of similar age
#176,336
of 307,376 outputs
Outputs of similar age from Systematic Reviews
#13
of 20 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,988 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 22nd percentile – i.e., 22% 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 307,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.