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X Demographics
Mendeley readers
Attention Score in Context
Title |
Natural human knockouts and the era of genotype to phenotype
|
---|---|
Published in |
Genome Medicine, May 2015
|
DOI | 10.1186/s13073-015-0173-z |
Pubmed ID | |
Authors |
Fowzan S Alkuraya |
Abstract |
Complete loss of gene function in humans by naturally occurring biallelic loss-of-function mutations (human knockout) is not a new concept. However, the recent identification of human knockouts along the entire spectrum of health and disease by next-generation sequencing promises to unlock their full potential to accelerate the medical and functional annotation of the human genome. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Saudi Arabia | 2 | 20% |
Venezuela, Bolivarian Republic of | 1 | 10% |
Netherlands | 1 | 10% |
United Kingdom | 1 | 10% |
Australia | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 6 | 60% |
Members of the public | 3 | 30% |
Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Russia | 1 | 2% |
Unknown | 55 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 23% |
Student > Ph. D. Student | 9 | 16% |
Other | 8 | 14% |
Student > Bachelor | 5 | 9% |
Student > Postgraduate | 5 | 9% |
Other | 9 | 16% |
Unknown | 7 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 18 | 32% |
Agricultural and Biological Sciences | 14 | 25% |
Medicine and Dentistry | 11 | 20% |
Environmental Science | 1 | 2% |
Unspecified | 1 | 2% |
Other | 4 | 7% |
Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 March 2019.
All research outputs
#4,576,832
of 22,807,037 outputs
Outputs from Genome Medicine
#876
of 1,440 outputs
Outputs of similar age
#58,340
of 265,918 outputs
Outputs of similar age from Genome Medicine
#20
of 31 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 38th percentile – i.e., 38% 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 265,918 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 77% of its contemporaries.
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 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.