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Novel citation-based search method for scientific literature: application to meta-analyses

Overview of attention for article published in BMC Medical Research Methodology, October 2015
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
36 tweeters
peer_reviews
1 peer review site

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
77 Mendeley
citeulike
2 CiteULike
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Title
Novel citation-based search method for scientific literature: application to meta-analyses
Published in
BMC Medical Research Methodology, October 2015
DOI 10.1186/s12874-015-0077-z
Pubmed ID
Authors

A. Cecile J W Janssens, M. Gwinn

Abstract

Finding eligible studies for meta-analysis and systematic reviews relies on keyword-based searching as the gold standard, despite its inefficiency. Searching based on direct citations is not sufficiently comprehensive. We propose a novel strategy that ranks articles on their degree of co-citation with one or more "known" articles before reviewing their eligibility. In two independent studies, we aimed to reproduce the results of literature searches for sets of published meta-analyses (n = 10 and n = 42). For each meta-analysis, we extracted co-citations for the randomly selected 'known' articles from the Web of Science database, counted their frequencies and screened all articles with a score above a selection threshold. In the second study, we extended the method by retrieving direct citations for all selected articles. In the first study, we retrieved 82 % of the studies included in the meta-analyses while screening only 11 % as many articles as were screened for the original publications. Articles that we missed were published in non-English languages, published before 1975, published very recently, or available only as conference abstracts. In the second study, we retrieved 79 % of included studies while screening half the original number of articles. Citation searching appears to be an efficient and reasonably accurate method for finding articles similar to one or more articles of interest for meta-analysis and reviews.

Twitter Demographics

The data shown below were collected from the profiles of 36 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 1%
United States 1 1%
United Arab Emirates 1 1%
Unknown 74 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 19%
Student > Ph. D. Student 12 16%
Librarian 9 12%
Student > Master 7 9%
Student > Doctoral Student 5 6%
Other 18 23%
Unknown 11 14%
Readers by discipline Count As %
Medicine and Dentistry 21 27%
Biochemistry, Genetics and Molecular Biology 6 8%
Social Sciences 4 5%
Psychology 4 5%
Nursing and Health Professions 3 4%
Other 14 18%
Unknown 25 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 13 October 2021.
All research outputs
#815,731
of 22,070,821 outputs
Outputs from BMC Medical Research Methodology
#87
of 1,947 outputs
Outputs of similar age
#15,008
of 303,290 outputs
Outputs of similar age from BMC Medical Research Methodology
#3
of 79 outputs
Altmetric has tracked 22,070,821 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,947 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 95% 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 303,290 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 95% of its contemporaries.
We're also able to compare this research output to 79 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 97% of its contemporaries.