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Targeted sequencing reveals complex, phenotype-correlated genotypes in cystic fibrosis

Overview of attention for article published in BMC Medical Genomics, February 2018
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2 X users

Citations

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Title
Targeted sequencing reveals complex, phenotype-correlated genotypes in cystic fibrosis
Published in
BMC Medical Genomics, February 2018
DOI 10.1186/s12920-018-0328-z
Pubmed ID
Authors

Maxim Ivanov, Alina Matsvay, Olga Glazova, Stanislav Krasovskiy, Mariya Usacheva, Elena Amelina, Aleksandr Chernyak, Mikhail Ivanov, Sergey Musienko, Timofey Prodanov, Sergey Kovalenko, Ancha Baranova, Kamil Khafizov

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Master 6 13%
Student > Ph. D. Student 5 11%
Student > Bachelor 4 9%
Student > Doctoral Student 3 7%
Other 5 11%
Unknown 14 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 22%
Medicine and Dentistry 10 22%
Agricultural and Biological Sciences 6 13%
Nursing and Health Professions 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 4%
Unknown 15 33%
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 08 June 2019.
All research outputs
#18,023,618
of 23,150,406 outputs
Outputs from BMC Medical Genomics
#806
of 1,240 outputs
Outputs of similar age
#315,183
of 446,628 outputs
Outputs of similar age from BMC Medical Genomics
#14
of 17 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,240 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 446,628 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.