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Mendeley readers
Attention Score in Context
Title |
Segregation analysis in families with Charcot-Marie-Tooth disease allows reclassification of putative disease causing mutations
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Published in |
BMC Medical Genomics, January 2014
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DOI | 10.1186/1471-2350-15-12 |
Pubmed ID | |
Authors |
Rune Østern, Toril Fagerheim, Helene Hjellnes, Bjørn Nygård, Svein Ivar Mellgren, Øivind Nilssen |
Abstract |
The identification of disease causing, or putative disease causing, mutations in index patients with Charcot-Marie-Tooth disease (CMT) allows for genetic testing of family members. Relevant variants identified in index patients are of either definite, likely or uncertain pathogenicity. The main objective of this study was to make an evaluation of the family investigations performed as part of the assessment of genetic variants of unknown clinical significance (VUS). |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 6% |
Unknown | 15 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 19% |
Student > Doctoral Student | 2 | 13% |
Professor | 2 | 13% |
Student > Bachelor | 2 | 13% |
Researcher | 2 | 13% |
Other | 1 | 6% |
Unknown | 4 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 19% |
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Medicine and Dentistry | 2 | 13% |
Computer Science | 1 | 6% |
Neuroscience | 1 | 6% |
Other | 2 | 13% |
Unknown | 5 | 31% |
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 23 January 2014.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#1,315
of 2,444 outputs
Outputs of similar age
#202,605
of 321,175 outputs
Outputs of similar age from BMC Medical Genomics
#20
of 31 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 36th percentile – i.e., 36% 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 321,175 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 31 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.