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Lost in translation? A multilingual Query Builder improves the quality of PubMed queries: a randomised controlled trial

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2017
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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9 X users

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Title
Lost in translation? A multilingual Query Builder improves the quality of PubMed queries: a randomised controlled trial
Published in
BMC Medical Informatics and Decision Making, July 2017
DOI 10.1186/s12911-017-0490-9
Pubmed ID
Authors

Matthieu Schuers, Mher Joulakian, Gaetan Kerdelhué, Léa Segas, Julien Grosjean, Stéfan J. Darmoni, Nicolas Griffon

Abstract

MEDLINE is the most widely used medical bibliographic database in the world. Most of its citations are in English and this can be an obstacle for some researchers to access the information the database contains. We created a multilingual query builder to facilitate access to the PubMed subset using a language other than English. The aim of our study was to assess the impact of this multilingual query builder on the quality of PubMed queries for non-native English speaking physicians and medical researchers. A randomised controlled study was conducted among French speaking general practice residents. We designed a multi-lingual query builder to facilitate information retrieval, based on available MeSH translations and providing users with both an interface and a controlled vocabulary in their own language. Participating residents were randomly allocated either the French or the English version of the query builder. They were asked to translate 12 short medical questions into MeSH queries. The main outcome was the quality of the query. Two librarians blind to the arm independently evaluated each query, using a modified published classification that differentiated eight types of errors. Twenty residents used the French version of the query builder and 22 used the English version. 492 queries were analysed. There were significantly more perfect queries in the French group vs. the English group (respectively 37.9% vs. 17.9%; p < 0.01). It took significantly more time for the members of the English group than the members of the French group to build each query, respectively 194 sec vs. 128 sec; p < 0.01. This multi-lingual query builder is an effective tool to improve the quality of PubMed queries in particular for researchers whose first language is not English.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Student > Bachelor 4 17%
Student > Ph. D. Student 3 13%
Professor 2 8%
Student > Master 2 8%
Other 4 17%
Unknown 4 17%
Readers by discipline Count As %
Psychology 3 13%
Medicine and Dentistry 3 13%
Linguistics 2 8%
Computer Science 2 8%
Nursing and Health Professions 2 8%
Other 6 25%
Unknown 6 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 April 2018.
All research outputs
#6,190,584
of 24,312,464 outputs
Outputs from BMC Medical Informatics and Decision Making
#550
of 2,071 outputs
Outputs of similar age
#92,462
of 317,463 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#10
of 39 outputs
Altmetric has tracked 24,312,464 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 2,071 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 73% 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 317,463 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% 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.