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A Suspicion Index to aid screening of early-onset Niemann-Pick disease Type C (NP-C)

Overview of attention for article published in BMC Pediatrics, July 2016
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Title
A Suspicion Index to aid screening of early-onset Niemann-Pick disease Type C (NP-C)
Published in
BMC Pediatrics, July 2016
DOI 10.1186/s12887-016-0641-7
Pubmed ID
Authors

Mercedes Pineda, Eugen Mengel, Helena Jahnová, Bénédicte Héron, Jackie Imrie, Charles M. Lourenço, Vanessa van der Linden, Parvaneh Karimzadeh, Vassili Valayannopoulos, Pavel Jesina, Juan V. Torres, Stefan A. Kolb

Abstract

Niemann-Pick disease Type C (NP-C) is difficult to diagnose due to heterogeneous and nonspecific clinical presentation. The NP-C Suspicion Index (SI) was developed to identify patients with a high likelihood of NP-C; however, it was less reliable in patients aged <4 years. An early-onset NP-C SI was constructed following retrospective chart review of symptom presentation in 200 patients from nine centres comprised of 106 NP-C cases, 31 non-cases and 63 controls. Statistical analyses defined strength of association between symptoms and a diagnosis of NP-C and assigned risk prediction scores to each symptom. Visceral symptoms were amongst the strongest predictors. Except for gelastic cataplexy and vertical supranuclear gaze palsy, central nervous system symptoms were not discriminatory in this population. Performance of the early-onset NP-C SI was superior versus the original NP-C SI in patients aged ≤4 years. The early-onset NP-C SI can help physicians, especially those with limited knowledge of NP-C, to identify patients aged ≤4 years who warrant further investigation for NP-C.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 17%
Student > Ph. D. Student 5 14%
Researcher 3 9%
Student > Doctoral Student 2 6%
Other 2 6%
Other 5 14%
Unknown 12 34%
Readers by discipline Count As %
Medicine and Dentistry 8 23%
Agricultural and Biological Sciences 6 17%
Neuroscience 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 1 3%
Other 2 6%
Unknown 13 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 May 2017.
All research outputs
#20,129,087
of 25,608,265 outputs
Outputs from BMC Pediatrics
#2,572
of 3,479 outputs
Outputs of similar age
#282,076
of 379,206 outputs
Outputs of similar age from BMC Pediatrics
#34
of 52 outputs
Altmetric has tracked 25,608,265 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,479 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 22nd percentile – i.e., 22% 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 379,206 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.