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X Demographics
Mendeley readers
Attention Score in Context
Title |
BET Bromodomain Inhibition Blocks an AR-Repressed, E2F1-Activated Treatment-Emergent Neuroendocrine Prostate Cancer Lineage Plasticity ProgramBET Bromodomain Inhibition Blocks t-NEPC Lineage Plasticity
|
---|---|
Published in |
Clinical Cancer Research, June 2021
|
DOI | 10.1158/1078-0432.ccr-20-4968 |
Pubmed ID | |
Authors |
Dae-Hwan Kim, Duanchen Sun, William K. Storck, Katherine Welker Leng, Chelsea Jenkins, Daniel J. Coleman, David Sampson, Xiangnan Guan, Anbarasu Kumaraswamy, Eva S. Rodansky, Joshua A. Urrutia, Jacob A. Schwartzman, Chao Zhang, Himisha Beltran, Mark P. Labrecque, Colm Morrissey, Jared M. Lucas, Ilsa M. Coleman, Peter S. Nelson, Eva Corey, Samuel K. Handelman, Jonathan Z. Sexton, Rahul Aggarwal, Wassim Abida, Felix Y. Feng, Eric J. Small, Daniel E. Spratt, Armand Bankhead, Arvind Rao, Emily M. Gesner, Sarah Attwell, Sanjay Lakhotia, Eric Campeau, Joel A. Yates, Zheng Xia, Joshi J. Alumkal |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
United Kingdom | 1 | 11% |
Unknown | 6 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 78% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 15% |
Researcher | 5 | 15% |
Student > Ph. D. Student | 5 | 15% |
Lecturer | 3 | 9% |
Student > Master | 2 | 6% |
Other | 1 | 3% |
Unknown | 12 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 27% |
Medicine and Dentistry | 4 | 12% |
Agricultural and Biological Sciences | 2 | 6% |
Mathematics | 1 | 3% |
Linguistics | 1 | 3% |
Other | 4 | 12% |
Unknown | 12 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 82. 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 02 September 2021.
All research outputs
#481,205
of 24,140,950 outputs
Outputs from Clinical Cancer Research
#261
of 12,926 outputs
Outputs of similar age
#13,273
of 434,951 outputs
Outputs of similar age from Clinical Cancer Research
#11
of 175 outputs
Altmetric has tracked 24,140,950 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,926 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done particularly well, scoring higher than 97% 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 434,951 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 175 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.