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Data extraction from machine-translated versus original language randomized trial reports: a comparative study

Overview of attention for article published in Systematic Reviews, November 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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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13 X users

Citations

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45 Dimensions

Readers on

mendeley
79 Mendeley
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Title
Data extraction from machine-translated versus original language randomized trial reports: a comparative study
Published in
Systematic Reviews, November 2013
DOI 10.1186/2046-4053-2-97
Pubmed ID
Authors

Ethan M Balk, Mei Chung, Minghua L Chen, Lina Kong Win Chang, Thomas A Trikalinos

Abstract

Google Translate offers free Web-based translation, but it is unknown whether its translation accuracy is sufficient to use in systematic reviews to mitigate concerns about language bias.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Poland 1 1%
Unknown 76 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 23%
Student > Master 11 14%
Student > Ph. D. Student 10 13%
Student > Postgraduate 5 6%
Librarian 4 5%
Other 18 23%
Unknown 13 16%
Readers by discipline Count As %
Medicine and Dentistry 18 23%
Computer Science 9 11%
Agricultural and Biological Sciences 6 8%
Nursing and Health Professions 5 6%
Social Sciences 5 6%
Other 19 24%
Unknown 17 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 24 September 2020.
All research outputs
#4,800,984
of 25,307,332 outputs
Outputs from Systematic Reviews
#965
of 2,218 outputs
Outputs of similar age
#41,860
of 223,721 outputs
Outputs of similar age from Systematic Reviews
#6
of 28 outputs
Altmetric has tracked 25,307,332 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,218 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 gotten more attention than average, scoring higher than 55% 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 223,721 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 80% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.