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Attention Score in Context
Title |
Novel mutations of PKD genes in the Czech population with autosomal dominant polycystic kidney disease
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Published in |
BMC Medical Genomics, April 2014
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DOI | 10.1186/1471-2350-15-41 |
Pubmed ID | |
Authors |
Lena Obeidova, Veronika Elisakova, Jitka Stekrova, Jana Reiterova, Miroslav Merta, Vladimir Tesar, Frantisek Losan, Milada Kohoutova |
Abstract |
Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary renal disorder caused by mutation in either one of two genes, PKD1 and PKD2. High structural and sequence complexity of PKD genes makes the mutational diagnostics of ADPKD challenging. The present study is the first detailed analysis of both PKD genes in a cohort of Czech patients with ADPKD using High Resolution Melting analysis (HRM) and Multiplex Ligation-dependent Probe Amplification (MLPA). |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 3% |
Unknown | 31 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 25% |
Student > Ph. D. Student | 6 | 19% |
Student > Master | 3 | 9% |
Other | 3 | 9% |
Student > Bachelor | 2 | 6% |
Other | 3 | 9% |
Unknown | 7 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 22% |
Biochemistry, Genetics and Molecular Biology | 6 | 19% |
Agricultural and Biological Sciences | 6 | 19% |
Philosophy | 1 | 3% |
Mathematics | 1 | 3% |
Other | 4 | 13% |
Unknown | 7 | 22% |
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 03 April 2014.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#1,682
of 2,444 outputs
Outputs of similar age
#175,542
of 238,628 outputs
Outputs of similar age from BMC Medical Genomics
#28
of 37 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 17th percentile – i.e., 17% 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 238,628 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
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 is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.