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Routine development of objectively derived search strategies

Overview of attention for article published in Systematic Reviews, February 2012
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
2 blogs
twitter
8 X users
googleplus
1 Google+ user

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
115 Mendeley
citeulike
1 CiteULike
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Title
Routine development of objectively derived search strategies
Published in
Systematic Reviews, February 2012
DOI 10.1186/2046-4053-1-19
Pubmed ID
Authors

Elke Hausner, Siw Waffenschmidt, Thomas Kaiser, Michael Simon

Abstract

Over the past few years, information retrieval has become more and more professionalized, and information specialists are considered full members of a research team conducting systematic reviews. Research groups preparing systematic reviews and clinical practice guidelines have been the driving force in the development of search strategies, but open questions remain regarding the transparency of the development process and the available resources. An empirically guided approach to the development of a search strategy provides a way to increase transparency and efficiency.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 4 3%
United States 2 2%
Germany 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
Peru 1 <1%
Uganda 1 <1%
Unknown 104 90%

Demographic breakdown

Readers by professional status Count As %
Librarian 22 19%
Student > Master 18 16%
Researcher 16 14%
Student > Ph. D. Student 11 10%
Professor > Associate Professor 9 8%
Other 27 23%
Unknown 12 10%
Readers by discipline Count As %
Medicine and Dentistry 42 37%
Nursing and Health Professions 14 12%
Computer Science 10 9%
Social Sciences 9 8%
Agricultural and Biological Sciences 6 5%
Other 14 12%
Unknown 20 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 April 2022.
All research outputs
#2,052,955
of 25,392,582 outputs
Outputs from Systematic Reviews
#330
of 2,229 outputs
Outputs of similar age
#11,438
of 168,047 outputs
Outputs of similar age from Systematic Reviews
#5
of 15 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,229 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done well, scoring higher than 85% 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 168,047 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 93% of its contemporaries.
We're also able to compare this research output to 15 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 73% of its contemporaries.