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Electronic search strategies to identify reports of cluster randomized trials in MEDLINE: low precision will improve with adherence to reporting standards

Overview of attention for article published in BMC Medical Research Methodology, February 2010
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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)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
1 CiteULike
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Title
Electronic search strategies to identify reports of cluster randomized trials in MEDLINE: low precision will improve with adherence to reporting standards
Published in
BMC Medical Research Methodology, February 2010
DOI 10.1186/1471-2288-10-15
Pubmed ID
Authors

Monica Taljaard, Jessie McGowan, Jeremy M Grimshaw, Jamie C Brehaut, Andrew McRae, Martin P Eccles, Allan Donner

Abstract

Cluster randomized trials (CRTs) present unique methodological and ethical challenges. Researchers conducting systematic reviews of CRTs (e.g., addressing methodological or ethical issues) require efficient electronic search strategies (filters or hedges) to identify trials in electronic databases such as MEDLINE. According to the CONSORT statement extension to CRTs, the clustered design should be clearly identified in titles or abstracts; however, variability in terminology may make electronic identification challenging. Our objectives were to (a) evaluate sensitivity ("recall") and precision of a well-known electronic search strategy ("randomized controlled trial" as publication type) with respect to identifying CRTs, (b) evaluate the feasibility of new search strategies targeted specifically at CRTs, and (c) determine whether CRTs are appropriately identified in titles or abstracts of reports and whether there has been improvement over time.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Canada 2 4%
Sweden 1 2%
Ireland 1 2%
Brazil 1 2%
Japan 1 2%
Unknown 46 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Student > Ph. D. Student 8 15%
Professor > Associate Professor 8 15%
Student > Master 6 11%
Librarian 4 7%
Other 10 19%
Unknown 8 15%
Readers by discipline Count As %
Medicine and Dentistry 26 48%
Nursing and Health Professions 4 7%
Economics, Econometrics and Finance 3 6%
Business, Management and Accounting 2 4%
Mathematics 2 4%
Other 7 13%
Unknown 10 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 16 October 2015.
All research outputs
#3,393,943
of 23,881,329 outputs
Outputs from BMC Medical Research Methodology
#536
of 2,109 outputs
Outputs of similar age
#13,439
of 96,443 outputs
Outputs of similar age from BMC Medical Research Methodology
#7
of 13 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,109 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 74% 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 96,443 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 13 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 53% of its contemporaries.