| Title |
Network-based stratification of tumor mutations
|
|---|---|
| Published in |
Nature Methods, September 2013
|
| DOI | 10.1038/nmeth.2651 |
| Pubmed ID | |
| Authors |
Matan Hofree, John P Shen, Hannah Carter, Andrew Gross, Trey Ideker |
X Demographics
The data shown below were collected from the profiles of 30 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 | 10 | 33% |
| United Kingdom | 5 | 17% |
| Comoros | 1 | 3% |
| Canada | 1 | 3% |
| Belgium | 1 | 3% |
| Korea, Democratic People's Republic of | 1 | 3% |
| Spain | 1 | 3% |
| Japan | 1 | 3% |
| Germany | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 7 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 50% |
| Members of the public | 13 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,216 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 38 | 3% |
| United Kingdom | 11 | <1% |
| Germany | 8 | <1% |
| Spain | 6 | <1% |
| Canada | 5 | <1% |
| Netherlands | 4 | <1% |
| France | 3 | <1% |
| Italy | 3 | <1% |
| Sweden | 2 | <1% |
| Other | 17 | 1% |
| Unknown | 1119 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 343 | 28% |
| Researcher | 299 | 25% |
| Student > Master | 130 | 11% |
| Student > Bachelor | 68 | 6% |
| Professor > Associate Professor | 53 | 4% |
| Other | 174 | 14% |
| Unknown | 149 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 421 | 35% |
| Biochemistry, Genetics and Molecular Biology | 229 | 19% |
| Computer Science | 154 | 13% |
| Medicine and Dentistry | 84 | 7% |
| Engineering | 42 | 3% |
| Other | 100 | 8% |
| Unknown | 186 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 85. 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 09 January 2024.
All research outputs
#510,620
of 25,658,139 outputs
Outputs from Nature Methods
#641
of 5,395 outputs
Outputs of similar age
#3,936
of 210,971 outputs
Outputs of similar age from Nature Methods
#12
of 90 outputs
Altmetric has tracked 25,658,139 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 5,395 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.6. 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 210,971 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 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.