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Epidemiology of Sanfilippo syndrome: results of a systematic literature review

Overview of attention for article published in Orphanet Journal of Rare Diseases, April 2018
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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2 news outlets
twitter
1 X user
wikipedia
1 Wikipedia page

Citations

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55 Dimensions

Readers on

mendeley
102 Mendeley
Title
Epidemiology of Sanfilippo syndrome: results of a systematic literature review
Published in
Orphanet Journal of Rare Diseases, April 2018
DOI 10.1186/s13023-018-0796-4
Pubmed ID
Authors

Tamás Zelei, Kata Csetneki, Zoltán Vokó, Csaba Siffel

Abstract

Sanfilippo syndrome (mucopolysaccharidosis [MPS] III subtypes A, B, C, and D) is a rare autosomal recessive inherited metabolic disorder that causes progressive neurocognitive degeneration. This systematic literature review was undertaken to compile and assess published epidemiological data, including various frequency measures and geographical variation on Sanfilippo syndrome. The following databases were systematically searched for terms related to Sanfilippo syndrome epidemiology: Medline, Embase, Cochrane Database of Systematic Reviews, Academic Search Complete, Cumulative Index to Nursing and Allied Health Literature, and the Centre for Reviews and Dissemination. Qualitative synthesis of research findings was performed. Of 2794 publications found in the initial search, 116 were deemed eligible after title and abstract screening. Following full-text review, 46 papers were included in the qualitative synthesis. Results of this systematic literature review indicate that lifetime risk at birth ranges from 0.17-2.35 per 100,000 live births for all 4 subtypes of MPS III together, and from 0.00-1.62 per 100,000 live births for the most frequent subtype, MPS IIIA. All 4 subtypes of MPS III are exceptionally rare, but they each have devastating effects on children. Higher-quality epidemiological data are needed to appropriately target resources for disease research and management.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 13%
Student > Ph. D. Student 9 9%
Other 9 9%
Researcher 8 8%
Student > Bachelor 7 7%
Other 10 10%
Unknown 46 45%
Readers by discipline Count As %
Medicine and Dentistry 14 14%
Biochemistry, Genetics and Molecular Biology 10 10%
Nursing and Health Professions 7 7%
Agricultural and Biological Sciences 5 5%
Neuroscience 4 4%
Other 19 19%
Unknown 43 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 February 2023.
All research outputs
#1,835,494
of 25,271,884 outputs
Outputs from Orphanet Journal of Rare Diseases
#201
of 3,051 outputs
Outputs of similar age
#38,563
of 335,605 outputs
Outputs of similar age from Orphanet Journal of Rare Diseases
#4
of 41 outputs
Altmetric has tracked 25,271,884 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,051 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 93% 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 335,605 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 41 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 92% of its contemporaries.