| Title |
Heterogeneity in the inter-tumor transcriptome of high risk prostate cancer
|
|---|---|
| Published in |
Genome Biology, August 2014
|
| DOI | 10.1186/s13059-014-0426-y |
| Pubmed ID | |
| Authors |
Alexander W Wyatt, Fan Mo, Kendric Wang, Brian McConeghy, Sonal Brahmbhatt, Lina Jong, Devon M Mitchell, Rebecca L Johnston, Anne Haegert, Estelle Li, Janet Liew, Jake Yeung, Raunak Shrestha, Anna V Lapuk, Andrew McPherson, Robert Shukin, Robert H Bell, Shawn Anderson, Jennifer Bishop, Antonio Hurtado-Coll, Hong Xiao, Arul M Chinnaiyan, Rohit Mehra, Dong Lin, Yuzhuo Wang, Ladan Fazli, Martin E Gleave, Stanislav V Volik, Colin C Collins |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Norway | 1 | <1% |
| New Zealand | 1 | <1% |
| Denmark | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 117 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 27% |
| Researcher | 30 | 24% |
| Student > Master | 16 | 13% |
| Student > Bachelor | 8 | 6% |
| Professor > Associate Professor | 7 | 6% |
| Other | 17 | 14% |
| Unknown | 12 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 38% |
| Biochemistry, Genetics and Molecular Biology | 25 | 20% |
| Computer Science | 14 | 11% |
| Medicine and Dentistry | 12 | 10% |
| Immunology and Microbiology | 2 | 2% |
| Other | 7 | 6% |
| Unknown | 17 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 04 January 2022.
All research outputs
#2,088,592
of 25,371,288 outputs
Outputs from Genome Biology
#1,769
of 4,467 outputs
Outputs of similar age
#21,154
of 247,207 outputs
Outputs of similar age from Genome Biology
#19
of 100 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% 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 has gotten more attention than average, scoring higher than 60% 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 247,207 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 91% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.