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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MutComFocal: an integrative approach to identifying recurrent and focal genomic alterations in tumor samples
|
|---|---|
| Published in |
BMC Systems Biology, March 2013
|
| DOI | 10.1186/1752-0509-7-25 |
| Pubmed ID | |
| Authors |
Vladimir Trifonov, Laura Pasqualucci, Riccardo Dalla Favera, Raul Rabadan |
| Abstract |
Most tumors are the result of accumulated genomic alterations in somatic cells. The emerging spectrum of alterations in tumors is complex and the identification of relevant genes and pathways remains a challenge. Furthermore, key cancer genes are usually found amplified or deleted in chromosomal regions containing many other genes. Point mutations, on the other hand, provide exquisite information about amino acid changes that could be implicated in the oncogenic process. Current large-scale genomic projects provide high throughput genomic data in a large number of well-characterized tumor samples. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Spain | 1 | 2% |
| Netherlands | 1 | 2% |
| Unknown | 50 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 24% |
| Student > Ph. D. Student | 11 | 20% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Professor | 3 | 6% |
| Other | 12 | 22% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 28% |
| Agricultural and Biological Sciences | 14 | 26% |
| Medicine and Dentistry | 8 | 15% |
| Computer Science | 4 | 7% |
| Immunology and Microbiology | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 November 2017.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from BMC Systems Biology
#323
of 1,132 outputs
Outputs of similar age
#71,808
of 210,193 outputs
Outputs of similar age from BMC Systems Biology
#9
of 22 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 62% 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 210,193 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.