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X Demographics
Mendeley readers
Attention Score in Context
Title |
Targeting CDK9 Reactivates Epigenetically Silenced Genes in Cancer
|
---|---|
Published in |
Cell, October 2018
|
DOI | 10.1016/j.cell.2018.09.051 |
Pubmed ID | |
Authors |
Hanghang Zhang, Somnath Pandey, Meghan Travers, Hongxing Sun, George Morton, Jozef Madzo, Woonbok Chung, Jittasak Khowsathit, Oscar Perez-Leal, Carlos A. Barrero, Carmen Merali, Yasuyuki Okamoto, Takahiro Sato, Joshua Pan, Judit Garriga, Natarajan V. Bhanu, Johayra Simithy, Bela Patel, Jian Huang, Noël J.-M. Raynal, Benjamin A. Garcia, Marlene A. Jacobson, Cigall Kadoch, Salim Merali, Yi Zhang, Wayne Childers, Magid Abou-Gharbia, John Karanicolas, Stephen B. Baylin, Cynthia A. Zahnow, Jaroslav Jelinek, Xavier Graña, Jean-Pierre J. Issa |
X Demographics
The data shown below were collected from the profiles of 86 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 | 35 | 41% |
Canada | 5 | 6% |
Japan | 3 | 3% |
Mexico | 2 | 2% |
France | 2 | 2% |
China | 1 | 1% |
South Africa | 1 | 1% |
India | 1 | 1% |
Venezuela, Bolivarian Republic of | 1 | 1% |
Other | 4 | 5% |
Unknown | 31 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 49 | 57% |
Scientists | 33 | 38% |
Science communicators (journalists, bloggers, editors) | 3 | 3% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 271 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 57 | 21% |
Student > Ph. D. Student | 56 | 21% |
Student > Master | 19 | 7% |
Student > Bachelor | 19 | 7% |
Professor > Associate Professor | 13 | 5% |
Other | 46 | 17% |
Unknown | 61 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 99 | 37% |
Agricultural and Biological Sciences | 36 | 13% |
Medicine and Dentistry | 25 | 9% |
Immunology and Microbiology | 11 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 9 | 3% |
Other | 26 | 10% |
Unknown | 65 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 107. 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 15 December 2023.
All research outputs
#395,327
of 25,498,750 outputs
Outputs from Cell
#2,096
of 17,212 outputs
Outputs of similar age
#8,501
of 362,186 outputs
Outputs of similar age from Cell
#62
of 179 outputs
Altmetric has tracked 25,498,750 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 17,212 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.3. This one has done well, scoring higher than 87% 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 362,186 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 97% of its contemporaries.
We're also able to compare this research output to 179 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 65% of its contemporaries.