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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers
|
|---|---|
| Published in |
Genome Biology, April 2011
|
| DOI | 10.1186/gb-2011-12-4-r41 |
| Pubmed ID | |
| Authors |
Craig H Mermel, Steven E Schumacher, Barbara Hill, Matthew L Meyerson, Rameen Beroukhim, Gad Getz |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 14 | 1% |
| United Kingdom | 5 | <1% |
| France | 5 | <1% |
| Belgium | 3 | <1% |
| Spain | 3 | <1% |
| Korea, Republic of | 2 | <1% |
| Germany | 2 | <1% |
| Sweden | 2 | <1% |
| Japan | 2 | <1% |
| Other | 9 | <1% |
| Unknown | 1146 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 299 | 25% |
| Researcher | 240 | 20% |
| Student > Master | 103 | 9% |
| Student > Bachelor | 72 | 6% |
| Student > Doctoral Student | 70 | 6% |
| Other | 176 | 15% |
| Unknown | 233 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 304 | 25% |
| Biochemistry, Genetics and Molecular Biology | 297 | 25% |
| Medicine and Dentistry | 149 | 12% |
| Computer Science | 69 | 6% |
| Engineering | 18 | 2% |
| Other | 86 | 7% |
| Unknown | 270 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 14 March 2024.
All research outputs
#1,195,346
of 25,487,317 outputs
Outputs from Genome Biology
#898
of 4,480 outputs
Outputs of similar age
#4,617
of 121,598 outputs
Outputs of similar age from Genome Biology
#4
of 31 outputs
Altmetric has tracked 25,487,317 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,480 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 done well, scoring higher than 79% 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 121,598 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 96% 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 has done particularly well, scoring higher than 90% of its contemporaries.