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X Demographics
Mendeley readers
Attention Score in Context
Title |
Targeted exome sequencing for mitochondrial disorders reveals high genetic heterogeneity
|
---|---|
Published in |
BMC Medical Genomics, November 2013
|
DOI | 10.1186/1471-2350-14-118 |
Pubmed ID | |
Authors |
Jeana T DaRe, Valeria Vasta, John Penn, Nguyen-Thao B Tran, Si Houn Hahn |
Abstract |
Mitochondrial disorders are difficult to diagnose due to extreme genetic and phenotypic heterogeneities. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 25% |
Korea, Republic of | 1 | 13% |
United Kingdom | 1 | 13% |
India | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Switzerland | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 77 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 21% |
Researcher | 16 | 20% |
Student > Master | 8 | 10% |
Student > Bachelor | 6 | 7% |
Other | 6 | 7% |
Other | 14 | 17% |
Unknown | 14 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 19 | 23% |
Agricultural and Biological Sciences | 18 | 22% |
Medicine and Dentistry | 16 | 20% |
Neuroscience | 4 | 5% |
Computer Science | 2 | 2% |
Other | 8 | 10% |
Unknown | 14 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 11 September 2017.
All research outputs
#4,310,962
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#275
of 2,444 outputs
Outputs of similar age
#37,644
of 225,257 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 36 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 88% 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 225,257 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.