| Title |
Evidence of non-random mutation rates suggests an evolutionary risk management strategy
|
|---|---|
| Published in |
Nature, April 2012
|
| DOI | 10.1038/nature10995 |
| Pubmed ID | |
| Authors |
Iñigo Martincorena, Aswin S. N. Seshasayee, Nicholas M. Luscombe |
X Demographics
The data shown below were collected from the profiles of 62 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 | 14 | 23% |
| United Kingdom | 9 | 15% |
| Germany | 3 | 5% |
| France | 2 | 3% |
| Spain | 2 | 3% |
| New Zealand | 1 | 2% |
| Japan | 1 | 2% |
| Canada | 1 | 2% |
| Denmark | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 26 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 69% |
| Scientists | 19 | 31% |
Mendeley readers
The data shown below were compiled from readership statistics for 654 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 2% |
| Germany | 12 | 2% |
| United Kingdom | 8 | 1% |
| Canada | 5 | <1% |
| Sweden | 4 | <1% |
| Japan | 4 | <1% |
| Netherlands | 3 | <1% |
| Spain | 3 | <1% |
| Denmark | 3 | <1% |
| Other | 23 | 4% |
| Unknown | 573 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 165 | 25% |
| Researcher | 152 | 23% |
| Student > Master | 75 | 11% |
| Student > Bachelor | 43 | 7% |
| Professor > Associate Professor | 40 | 6% |
| Other | 135 | 21% |
| Unknown | 44 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 370 | 57% |
| Biochemistry, Genetics and Molecular Biology | 106 | 16% |
| Computer Science | 20 | 3% |
| Medicine and Dentistry | 18 | 3% |
| Environmental Science | 14 | 2% |
| Other | 64 | 10% |
| Unknown | 62 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 89. 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 21 April 2024.
All research outputs
#489,438
of 25,758,211 outputs
Outputs from Nature
#22,363
of 98,676 outputs
Outputs of similar age
#2,227
of 175,584 outputs
Outputs of similar age from Nature
#227
of 1,009 outputs
Altmetric has tracked 25,758,211 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,676 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.7. This one has done well, scoring higher than 77% 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 175,584 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 98% of its contemporaries.
We're also able to compare this research output to 1,009 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.