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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring the OncoGenomic Landscape of cancer
|
|---|---|
| Published in |
Genome Medicine, August 2018
|
| DOI | 10.1186/s13073-018-0571-0 |
| Pubmed ID | |
| Authors |
Lidia Mateo, Oriol Guitart-Pla, Miquel Duran-Frigola, Patrick Aloy |
| Abstract |
The widespread incorporation of next-generation sequencing into clinical oncology has yielded an unprecedented amount of molecular data from thousands of patients. A main current challenge is to find out reliable ways to extrapolate results from one group of patients to another and to bring rationale to individual cases in the light of what is known from the cohorts. We present OncoGenomic Landscapes, a framework to analyze and display thousands of cancer genomic profiles in a 2D space. Our tool allows users to rapidly assess the heterogeneity of large cohorts, enabling the comparison to other groups of patients, and using driver genes as landmarks to aid in the interpretation of the landscapes. In our web-server, we also offer the possibility of mapping new samples and cohorts onto 22 predefined landscapes related to cancer cell line panels, organoids, patient-derived xenografts, and clinical tumor samples. Contextualizing individual subjects in a more general landscape of human cancer is a valuable aid for basic researchers and clinical oncologists trying to identify treatment opportunities, maybe yet unapproved, for patients that ran out of standard therapeutic options. The web-server can be accessed at https://oglandscapes.irbbarcelona.org /. |
X Demographics
The data shown below were collected from the profiles of 61 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 | 15 | 25% |
| United Kingdom | 4 | 7% |
| Australia | 4 | 7% |
| France | 3 | 5% |
| Netherlands | 2 | 3% |
| Spain | 2 | 3% |
| Brazil | 2 | 3% |
| Singapore | 1 | 2% |
| Pakistan | 1 | 2% |
| Other | 11 | 18% |
| Unknown | 16 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 27 | 44% |
| Members of the public | 26 | 43% |
| Practitioners (doctors, other healthcare professionals) | 6 | 10% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 33% |
| Student > Master | 6 | 20% |
| Student > Bachelor | 3 | 10% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Doctoral Student | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 23% |
| Biochemistry, Genetics and Molecular Biology | 6 | 20% |
| Computer Science | 4 | 13% |
| Medicine and Dentistry | 4 | 13% |
| Business, Management and Accounting | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 08 November 2018.
All research outputs
#990,070
of 25,200,621 outputs
Outputs from Genome Medicine
#193
of 1,558 outputs
Outputs of similar age
#20,958
of 337,129 outputs
Outputs of similar age from Genome Medicine
#3
of 24 outputs
Altmetric has tracked 25,200,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,558 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done well, scoring higher than 87% 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 337,129 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 93% of its contemporaries.
We're also able to compare this research output to 24 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 91% of its contemporaries.