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Should we search Chinese biomedical databases when performing systematic reviews?

Overview of attention for article published in Systematic Reviews, March 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Title
Should we search Chinese biomedical databases when performing systematic reviews?
Published in
Systematic Reviews, March 2015
DOI 10.1186/s13643-015-0017-3
Pubmed ID
Authors

Jérémie F Cohen, Daniël A Korevaar, Junfeng Wang, René Spijker, Patrick M Bossuyt

Abstract

Chinese biomedical databases contain a large number of publications available to systematic reviewers, but it is unclear whether they are used for synthesizing the available evidence. We report a case of two systematic reviews on the accuracy of anti-cyclic citrullinated peptide for diagnosing rheumatoid arthritis. In one of these, the authors did not search Chinese databases; in the other, they did. We additionally assessed the extent to which Cochrane reviewers have searched Chinese databases in a systematic overview of the Cochrane Library (inception to 2014). The two diagnostic reviews included a total of 269 unique studies, but only 4 studies were included in both reviews. The first review included five studies published in the Chinese language (out of 151) while the second included 114 (out of 118). The summary accuracy estimates from the two reviews were comparable. Only 243 of the published 8,680 Cochrane reviews (less than 3%) searched one or more of the five major Chinese databases. These Chinese databases index about 2,500 journals, of which less than 6% are also indexed in MEDLINE. All 243 Cochrane reviews evaluated an intervention, 179 (74%) had at least one author with a Chinese affiliation; 118 (49%) addressed a topic in complementary or alternative medicine. Although searching Chinese databases may lead to the identification of a large amount of additional clinical evidence, Cochrane reviewers have rarely included them in their search strategy. We encourage future initiatives to evaluate more systematically the relevance of searching Chinese databases, as well as collaborative efforts to allow better incorporation of Chinese resources in systematic reviews.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Researcher 8 16%
Librarian 7 14%
Student > Ph. D. Student 6 12%
Other 2 4%
Other 6 12%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 25 51%
Nursing and Health Professions 5 10%
Agricultural and Biological Sciences 2 4%
Social Sciences 2 4%
Mathematics 1 2%
Other 4 8%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 15 February 2023.
All research outputs
#2,618,725
of 25,712,965 outputs
Outputs from Systematic Reviews
#436
of 2,247 outputs
Outputs of similar age
#31,834
of 274,629 outputs
Outputs of similar age from Systematic Reviews
#10
of 39 outputs
Altmetric has tracked 25,712,965 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,247 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done well, scoring higher than 80% 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 274,629 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 88% of its contemporaries.
We're also able to compare this research output to 39 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 74% of its contemporaries.