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A case study of binary outcome data extraction across three systematic reviews of hip arthroplasty: errors and differences of selection

Overview of attention for article published in BMC Research Notes, December 2013
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
19 Mendeley
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Title
A case study of binary outcome data extraction across three systematic reviews of hip arthroplasty: errors and differences of selection
Published in
BMC Research Notes, December 2013
DOI 10.1186/1756-0500-6-539
Pubmed ID
Authors

Christopher Carroll, Alison Scope, Eva Kaltenthaler

Abstract

Data extraction is a key stage in systematic review, yet it is the subject of little research. The aim of the present research was to use a small case study to highlight some important issues affecting this fundamental process.

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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 1 5%
Egypt 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 37%
Researcher 4 21%
Professor 2 11%
Student > Postgraduate 2 11%
Student > Bachelor 2 11%
Other 1 5%
Unknown 1 5%
Readers by discipline Count As %
Medicine and Dentistry 12 63%
Nursing and Health Professions 2 11%
Economics, Econometrics and Finance 1 5%
Computer Science 1 5%
Unknown 3 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 August 2021.
All research outputs
#3,637,403
of 22,738,543 outputs
Outputs from BMC Research Notes
#520
of 4,260 outputs
Outputs of similar age
#40,344
of 286,055 outputs
Outputs of similar age from BMC Research Notes
#17
of 129 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,260 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 87% 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 286,055 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 85% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.