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Rare diseases in ICD11: making rare diseases visible in health information systems through appropriate coding

Overview of attention for article published in Orphanet Journal of Rare Diseases, March 2015
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

policy
1 policy source
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30 X users
facebook
5 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
114 Mendeley
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2 CiteULike
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Title
Rare diseases in ICD11: making rare diseases visible in health information systems through appropriate coding
Published in
Orphanet Journal of Rare Diseases, March 2015
DOI 10.1186/s13023-015-0251-8
Pubmed ID
Authors

Ségolène Aymé, Bertrand Bellet, Ana Rath

Abstract

Because of their individual rarity, genetic diseases and other types of rare diseases are under-represented in healthcare coding systems; this contributes to a lack of ascertainment and recognition of their importance for healthcare planning and resource allocation, and prevents clinical research from being performed. Orphanet was given the task to develop an inventory of rare diseases and a classification system which could serve as a template to update International terminologies. When the World Health Organization (WHO) launched the revision process of the International Classification of Diseases (ICD), a Topic Advisory Group for rare diseases was established, managed by Orphanet and funded by the European Commission. So far 5,400 rare diseases listed in the Orphanet database have an endorsed representation in the foundation layer of ICD-11, and are thus provided with a unique identifier in the Beta version of ICD-11, which is 10 times more than in ICD10. A rare disease linearization is also planned. The current beta version is open for public consultation and comments, and to be used for field testing. The adoption by the World Health Assembly is planned for 2017. The overall revision process was carried out with very limited means considering its scope, ambition and strategic significance, and experienced significant hurdles and setbacks. The lack of funding impacted the level of professionalism that could be attained. The contrast between the initially declared goals and the currently foreseen final product is disappointing. In the context of uncertainty around the outcome of the field testing and the potential willingness of countries to adopt this new version, the European Commission Expert Group on Rare Diseases adopted in November 2014 a recommendation for health care coding systems to consider using ORPHA codes in addition to ICD10 codes for rare diseases having no specific ICD10 codes. The Orphanet terminology, classifications and mappings with other terminologies are freely available at www.orphadata.org .

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
Brazil 1 <1%
Unknown 111 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 18%
Student > Master 19 17%
Student > Ph. D. Student 14 12%
Student > Bachelor 7 6%
Professor 7 6%
Other 23 20%
Unknown 23 20%
Readers by discipline Count As %
Medicine and Dentistry 29 25%
Biochemistry, Genetics and Molecular Biology 11 10%
Nursing and Health Professions 10 9%
Agricultural and Biological Sciences 8 7%
Engineering 5 4%
Other 25 22%
Unknown 26 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 27 September 2022.
All research outputs
#1,342,248
of 24,876,519 outputs
Outputs from Orphanet Journal of Rare Diseases
#138
of 2,990 outputs
Outputs of similar age
#17,058
of 268,702 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#2
of 37 outputs
Altmetric has tracked 24,876,519 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,990 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. 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 268,702 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 93% of its contemporaries.
We're also able to compare this research output to 37 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 94% of its contemporaries.