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In silico characterization of a novel pathogenic deletion mutation identified in XPA gene in a Pakistani family with severe xeroderma pigmentosum

Overview of attention for article published in Journal of Biomedical Science, September 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
18 Mendeley
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Title
In silico characterization of a novel pathogenic deletion mutation identified in XPA gene in a Pakistani family with severe xeroderma pigmentosum
Published in
Journal of Biomedical Science, September 2013
DOI 10.1186/1423-0127-20-70
Pubmed ID
Authors

Muhammad Nasir, Nafees Ahmad, Christian MK Sieber, Amir Latif, Salman Akbar Malik, Abdul Hameed

Abstract

Xeroderma Pigmentosum (XP) is a rare skin disorder characterized by skin hypersensitivity to sunlight and abnormal pigmentation. The aim of this study was to investigate the genetic cause of a severe XP phenotype in a consanguineous Pakistani family and in silico characterization of any identified disease-associated mutation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Pakistan 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Researcher 3 17%
Student > Bachelor 2 11%
Student > Master 2 11%
Other 1 6%
Other 2 11%
Unknown 4 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 28%
Biochemistry, Genetics and Molecular Biology 3 17%
Nursing and Health Professions 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Physics and Astronomy 1 6%
Other 3 17%
Unknown 3 17%
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 24 September 2013.
All research outputs
#6,740,700
of 25,373,627 outputs
Outputs from Journal of Biomedical Science
#277
of 1,101 outputs
Outputs of similar age
#54,755
of 215,064 outputs
Outputs of similar age from Journal of Biomedical Science
#3
of 8 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 74% 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 215,064 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 74% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.