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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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Mentioned by

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2 tweeters

Citations

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10 Dimensions

Readers on

mendeley
26 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Student > Master 5 19%
Researcher 5 19%
Student > Bachelor 4 15%
Librarian 1 4%
Other 3 12%
Unknown 3 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 27%
Agricultural and Biological Sciences 6 23%
Medicine and Dentistry 6 23%
Nursing and Health Professions 2 8%
Computer Science 1 4%
Other 0 0%
Unknown 4 15%

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
#10,897,083
of 14,337,714 outputs
Outputs from BMC Medical Genomics
#528
of 754 outputs
Outputs of similar age
#176,666
of 260,922 outputs
Outputs of similar age from BMC Medical Genomics
#10
of 13 outputs
Altmetric has tracked 14,337,714 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 754 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 25th percentile – i.e., 25% 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 260,922 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.