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Mendeley readers
Attention Score in Context
| Title |
Systematic detection of putative tumor suppressor genes through the combined use of exome and transcriptome sequencing
|
|---|---|
| Published in |
Genome Biology, November 2010
|
| DOI | 10.1186/gb-2010-11-11-r114 |
| Pubmed ID | |
| Authors |
Qi Zhao, Ewen F Kirkness, Otavia L Caballero, Pedro A Galante, Raphael B Parmigiani, Lee Edsall, Samantha Kuan, Zhen Ye, Samuel Levy, Ana Tereza R Vasconcelos, Bing Ren, Sandro J de Souza, Anamaria A Camargo, Andrew JG Simpson, Robert L Strausberg |
| Abstract |
To identify potential tumor suppressor genes, genome-wide data from exome and transcriptome sequencing were combined to search for genes with loss of heterozygosity and allele-specific expression. The analysis was conducted on the breast cancer cell line HCC1954, and a lymphoblast cell line from the same individual, HCC1954BL. |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Germany | 3 | 2% |
| Brazil | 3 | 2% |
| Denmark | 2 | 2% |
| United Kingdom | 2 | 2% |
| Malaysia | 1 | <1% |
| Australia | 1 | <1% |
| Sweden | 1 | <1% |
| France | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 105 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 30% |
| Student > Ph. D. Student | 32 | 25% |
| Professor > Associate Professor | 10 | 8% |
| Student > Master | 9 | 7% |
| Professor | 8 | 6% |
| Other | 17 | 13% |
| Unknown | 13 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 66 | 52% |
| Biochemistry, Genetics and Molecular Biology | 20 | 16% |
| Medicine and Dentistry | 9 | 7% |
| Computer Science | 7 | 6% |
| Mathematics | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 19 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 April 2022.
All research outputs
#3,402,228
of 25,373,627 outputs
Outputs from Genome Biology
#2,421
of 4,467 outputs
Outputs of similar age
#19,310
of 190,184 outputs
Outputs of similar age from Genome Biology
#10
of 36 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th 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 45th percentile – i.e., 45% 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 190,184 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 89% of its contemporaries.
We're also able to compare this research output to 36 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 72% of its contemporaries.