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Application of a diagnostic algorithm for the rare deficient variant Mmalton of alpha-1-antitrypsin deficiency: a new approach

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, October 2016
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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3 X users
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1 Facebook page
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1 Wikipedia page

Citations

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13 Mendeley
Title
Application of a diagnostic algorithm for the rare deficient variant Mmalton of alpha-1-antitrypsin deficiency: a new approach
Published in
International Journal of Chronic Obstructive Pulmonary Disease, October 2016
DOI 10.2147/copd.s115940
Pubmed ID
Authors

Irene Belmonte, Miriam Barrecheguren, Rosa M López-Martínez, Cristina Esquinas, Esther Rodríguez, Marc Miravitlles, Francisco Rodríguez-Frías

Abstract

Alpha-1-antitrypsin deficiency (AATD) is associated with a high risk for the development of early-onset emphysema and liver disease. A large majority of subjects with severe AATD carry the ZZ genotype, which can be easily detected. Another rare pathologic variant, the Mmalton allele, causes a deficiency similar to that of the Z variant, but it is not easily recognizable and its detection seems to be underestimated. Therefore, we have included a rapid allele-specific genotyping assay for the detection of the Mmalton variant in the diagnostic algorithm of AATD used in our laboratory. The objective of this study was to test the usefulness of this new algorithm for Mmalton detection. We performed a retrospective revision of all AATD determinations carried out in our laboratory over 2 years using the new diagnostic algorithm. Samples with a phenotype showing one or two M alleles and AAT levels discordant with that phenotype were analyzed using the Mmalton allele-specific genotyping assay. We detected 49 samples with discordant AAT levels; 44 had the MM and five the MS phenotype. In nine of these samples, a single rare Mmalton variant was detected. During the study period, two family screenings were performed and four additional Mmalton variants were identified. The incorporation of the Mmalton allele-specific genotyping assay in the diagnostic algorithm of AATD resulted in a faster and cheaper method to detect this allele and avoided a significant delay in diagnosis when a sequencing assay was required. This methodology can be adapted to other rare variants. Standardized algorithms are required to obtain conclusive data of the real incidence of rare AAT alleles in each region.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 15%
Student > Postgraduate 2 15%
Student > Ph. D. Student 2 15%
Other 1 8%
Student > Bachelor 1 8%
Other 2 15%
Unknown 3 23%
Readers by discipline Count As %
Medicine and Dentistry 4 31%
Agricultural and Biological Sciences 2 15%
Biochemistry, Genetics and Molecular Biology 1 8%
Economics, Econometrics and Finance 1 8%
Immunology and Microbiology 1 8%
Other 0 0%
Unknown 4 31%
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 02 August 2018.
All research outputs
#6,557,965
of 25,576,275 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#724
of 2,585 outputs
Outputs of similar age
#93,314
of 333,154 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#25
of 96 outputs
Altmetric has tracked 25,576,275 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 2,585 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 71% 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 333,154 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 71% of its contemporaries.
We're also able to compare this research output to 96 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 72% of its contemporaries.