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X Demographics
Mendeley readers
Attention Score in Context
Title |
Towards a new era in medicine: therapeutic genome editing
|
---|---|
Published in |
Genome Biology, December 2015
|
DOI | 10.1186/s13059-015-0859-y |
Pubmed ID | |
Authors |
Matthew H. Porteus |
Abstract |
Genome editing is the process of precisely modifying the nucleotide sequence of the genome. It has provided a powerful approach to research questions but, with the development of a new set of tools, it is now possible to achieve frequencies of genome editing that are high enough to be useful therapeutically. Genome editing is being developed to treat not only monogenic diseases but also infectious diseases and diseases that have both a genetic and an environmental component. |
X Demographics
The data shown below were collected from the profiles of 32 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 Kingdom | 6 | 19% |
United States | 5 | 16% |
France | 3 | 9% |
Spain | 2 | 6% |
Canada | 2 | 6% |
South Africa | 1 | 3% |
Belgium | 1 | 3% |
Germany | 1 | 3% |
Italy | 1 | 3% |
Other | 1 | 3% |
Unknown | 9 | 28% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 18 | 56% |
Scientists | 11 | 34% |
Science communicators (journalists, bloggers, editors) | 3 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | <1% |
Italy | 1 | <1% |
United Kingdom | 1 | <1% |
China | 1 | <1% |
Russia | 1 | <1% |
United States | 1 | <1% |
Unknown | 178 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 33 | 18% |
Researcher | 33 | 18% |
Student > Master | 31 | 17% |
Student > Bachelor | 23 | 13% |
Student > Doctoral Student | 7 | 4% |
Other | 23 | 13% |
Unknown | 34 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 50 | 27% |
Agricultural and Biological Sciences | 44 | 24% |
Medicine and Dentistry | 27 | 15% |
Computer Science | 6 | 3% |
Engineering | 5 | 3% |
Other | 13 | 7% |
Unknown | 39 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 15 January 2016.
All research outputs
#1,916,733
of 25,373,627 outputs
Outputs from Genome Biology
#1,597
of 4,467 outputs
Outputs of similar age
#31,704
of 396,423 outputs
Outputs of similar age from Genome Biology
#38
of 72 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 64% 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 396,423 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.