| Title |
Genomic and Transcriptomic Landscape of Triple-Negative Breast Cancers: Subtypes and Treatment Strategies
|
|---|---|
| Published in |
Cancer Cell, March 2019
|
| DOI | 10.1016/j.ccell.2019.02.001 |
| Pubmed ID | |
| Authors |
Yi-Zhou Jiang, Ding Ma, Chen Suo, Jinxiu Shi, Mengzhu Xue, Xin Hu, Yi Xiao, Ke-Da Yu, Yi-Rong Liu, Ying Yu, Yuanting Zheng, Xiangnan Li, Chenhui Zhang, Pengchen Hu, Jing Zhang, Qi Hua, Jiyang Zhang, Wanwan Hou, Luyao Ren, Ding Bao, Bingying Li, Jingcheng Yang, Ling Yao, Wen-Jia Zuo, Shen Zhao, Yue Gong, Yi-Xing Ren, Ya-Xin Zhao, Yun-Song Yang, Zhenmin Niu, Zhi-Gang Cao, Daniel G. Stover, Claire Verschraegen, Virginia Kaklamani, Anneleen Daemen, John R. Benson, Kazuaki Takabe, Fan Bai, Da-Qiang Li, Peng Wang, Leming Shi, Wei Huang, Zhi-Ming Shao |
X Demographics
The data shown below were collected from the profiles of 38 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 States | 11 | 29% |
| United Kingdom | 4 | 11% |
| Germany | 2 | 5% |
| Mexico | 1 | 3% |
| Finland | 1 | 3% |
| Singapore | 1 | 3% |
| Japan | 1 | 3% |
| Spain | 1 | 3% |
| India | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 12 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 17 | 45% |
| Members of the public | 16 | 42% |
| Practitioners (doctors, other healthcare professionals) | 3 | 8% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 558 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 558 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 83 | 15% |
| Researcher | 82 | 15% |
| Student > Master | 53 | 9% |
| Student > Bachelor | 42 | 8% |
| Student > Doctoral Student | 22 | 4% |
| Other | 78 | 14% |
| Unknown | 198 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 160 | 29% |
| Medicine and Dentistry | 67 | 12% |
| Agricultural and Biological Sciences | 44 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 19 | 3% |
| Immunology and Microbiology | 9 | 2% |
| Other | 46 | 8% |
| Unknown | 213 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. 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 09 April 2024.
All research outputs
#629,018
of 25,880,422 outputs
Outputs from Cancer Cell
#484
of 3,183 outputs
Outputs of similar age
#14,496
of 369,036 outputs
Outputs of similar age from Cancer Cell
#15
of 47 outputs
Altmetric has tracked 25,880,422 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,183 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.8. This one has done well, scoring higher than 84% 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 369,036 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 96% of its contemporaries.
We're also able to compare this research output to 47 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 68% of its contemporaries.