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Mendeley readers
Attention Score in Context
| Title |
Allele-specific copy number analysis of tumor samples with aneuploidy and tumor heterogeneity
|
|---|---|
| Published in |
Genome Biology, October 2011
|
| DOI | 10.1186/gb-2011-12-10-r108 |
| Pubmed ID | |
| Authors |
Markus Rasmussen, Magnus Sundström, Hanna Göransson Kultima, Johan Botling, Patrick Micke, Helgi Birgisson, Bengt Glimelius, Anders Isaksson |
| Abstract |
We describe a bioinformatic tool, Tumor Aberration Prediction Suite (TAPS), for the identification of allele-specific copy numbers in tumor samples using data from Affymetrix SNP arrays. It includes detailed visualization of genomic segment characteristics and iterative pattern recognition for copy number identification, and does not require patient-matched normal samples. TAPS can be used to identify chromosomal aberrations with high sensitivity even when the proportion of tumor cells is as low as 30%. Analysis of cancer samples indicates that TAPS is well suited to investigate samples with aneuploidy and tumor heterogeneity, which is commonly found in many types of solid tumors. |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 6% |
| United Kingdom | 2 | 2% |
| Canada | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 98 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 30% |
| Student > Ph. D. Student | 32 | 29% |
| Student > Master | 13 | 12% |
| Student > Bachelor | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Other | 15 | 14% |
| Unknown | 4 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 41% |
| Biochemistry, Genetics and Molecular Biology | 29 | 27% |
| Computer Science | 13 | 12% |
| Medicine and Dentistry | 8 | 7% |
| Mathematics | 4 | 4% |
| Other | 2 | 2% |
| Unknown | 8 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 23 November 2021.
All research outputs
#5,446,210
of 25,371,288 outputs
Outputs from Genome Biology
#2,945
of 4,467 outputs
Outputs of similar age
#30,695
of 152,378 outputs
Outputs of similar age from Genome Biology
#24
of 46 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 32nd percentile – i.e., 32% 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 152,378 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.