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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Molecular Characterization of Chronic Lymphocytic Leukemia Patients with a High Number of Losses in 13q14
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0048485 |
| Pubmed ID | |
| Authors |
Ana Eugenia Rodríguez, Jose Ángel Hernández, Rocío Benito, Norma C. Gutiérrez, Juan Luis García, María Hernández-Sánchez, Alberto Risueño, M. Eugenia Sarasquete, Encarna Fermiñán, Rosa Fisac, Alfonso García de Coca, Guillermo Martín-Núñez, Natalia de las Heras, Isabel Recio, Oliver Gutiérrez, Javier De Las Rivas, Marcos González, Jesús M. Hernández-Rivas |
| Abstract |
Patients with chronic lymphocytic leukemia and 13q deletion as their only FISH abnormality could have a different outcome depending on the number of cells displaying this aberration. Thus, cases with a high number of 13q- cells (13q-H) had both shorter overall survival and time to first therapy. The goal of the study was to analyze the genetic profile of 13q-H patients. |
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 % |
|---|---|---|
| Peru | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 48 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Master | 9 | 18% |
| Student > Ph. D. Student | 7 | 14% |
| Other | 6 | 12% |
| Student > Postgraduate | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 7 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 22% |
| Medicine and Dentistry | 10 | 20% |
| Biochemistry, Genetics and Molecular Biology | 8 | 16% |
| Psychology | 2 | 4% |
| Immunology and Microbiology | 1 | 2% |
| Other | 10 | 20% |
| Unknown | 7 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 November 2012.
All research outputs
#18,320,524
of 22,685,926 outputs
Outputs from PLOS ONE
#153,897
of 193,650 outputs
Outputs of similar age
#136,336
of 179,099 outputs
Outputs of similar age from PLOS ONE
#3,463
of 4,728 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,650 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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 179,099 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,728 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.