| Title |
The genomic landscape of chronic lymphocytic leukemia: clinical implications
|
|---|---|
| Published in |
BMC Medicine, May 2013
|
| DOI | 10.1186/1741-7015-11-124 |
| Pubmed ID | |
| Authors |
Víctor Quesada, Andrew J Ramsay, David Rodríguez, Xose S Puente, Elías Campo, Carlos López-Otín |
| Abstract |
A precise understanding of the genomic and epigenomic features of chronic lymphocytic leukemia (CLL) may benefit the study of the disease's staging and treatment. While recent reports have shed some light on these aspects, several challenges need to be addressed before translating this research into clinical practice. Thus, even the best candidate driver genes display low mutational rates compared to other tumors. This means that a large percentage of cases do not display clear tumor-driving point mutations, or show candidate driving point mutations with no obvious biochemical relationship to the more frequently mutated genes. This genomic landscape probably reflects either an unknown underlying biochemical mechanism playing a key role in CLL or multiple biochemical pathways independently driving the development of this tumor. The elucidation of either scenario will have important consequences on the clinical management of CLL. Herein, we review the recent advances in the definition of the genomic landscape of CLL and the ongoing research to characterize the underlying biochemical events that drive this disease. |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 2 | 25% |
| United States | 2 | 25% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 1% |
| Poland | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 72 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 26% |
| Student > Ph. D. Student | 18 | 23% |
| Student > Bachelor | 7 | 9% |
| Student > Master | 7 | 9% |
| Professor > Associate Professor | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 25% |
| Biochemistry, Genetics and Molecular Biology | 18 | 23% |
| Medicine and Dentistry | 16 | 21% |
| Immunology and Microbiology | 3 | 4% |
| Social Sciences | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 13 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 18 February 2014.
All research outputs
#6,101,698
of 22,710,079 outputs
Outputs from BMC Medicine
#2,334
of 3,406 outputs
Outputs of similar age
#51,100
of 193,636 outputs
Outputs of similar age from BMC Medicine
#57
of 72 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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