↓ Skip to main content

Translating the foundational model of anatomy into french using knowledge-based and lexical methods

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 2011
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
28 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Translating the foundational model of anatomy into french using knowledge-based and lexical methods
Published in
BMC Medical Informatics and Decision Making, October 2011
DOI 10.1186/1472-6947-11-65
Pubmed ID
Authors

Tayeb Merabti, Lina F Soualmia, Julien Grosjean, Olivier Palombi, Jean-Michel Müller, Stéfan J Darmoni

Abstract

The Foundational Model of Anatomy (FMA) is the reference ontology regarding human anatomy. FMA vocabulary was integrated into the Health Multi Terminological Portal (HMTP) developed by CISMeF based on the CISMeF Information System which also includes 26 other terminologies and controlled vocabularies, mainly in French. However, FMA is primarily in English. In this context, the translation of FMA English terms into French could also be useful for searching and indexing French anatomy resources. Various studies have investigated automatic methods to assist the translation of medical terminologies or create multilingual medical vocabularies. The goal of this study was to facilitate the translation of FMA vocabulary into French.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 4%
Sweden 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 39%
Student > Bachelor 3 11%
Researcher 2 7%
Other 1 4%
Student > Master 1 4%
Other 3 11%
Unknown 7 25%
Readers by discipline Count As %
Computer Science 7 25%
Linguistics 2 7%
Arts and Humanities 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Veterinary Science and Veterinary Medicine 1 4%
Other 7 25%
Unknown 9 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 June 2012.
All research outputs
#14,146,599
of 22,668,244 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,101
of 1,978 outputs
Outputs of similar age
#90,190
of 140,490 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#11
of 17 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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 140,490 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.