| Title |
Selective inhibition of CDK7 reveals high-confidence targets and new models for TFIIH function in transcription
|
|---|---|
| Published in |
Genes & Development, October 2020
|
| DOI | 10.1101/gad.341545.120 |
| Pubmed ID | |
| Authors |
Jenna K. Rimel, Zachary C. Poss, Benjamin Erickson, Zachary L. Maas, Christopher C. Ebmeier, Jared L. Johnson, Tim-Michael Decker, Tomer M. Yaron, Michael J. Bradley, Kristin B. Hamman, Shanhu Hu, Goran Malojcic, Jason J. Marineau, Peter W. White, Martine Brault, Limei Tao, Patrick DeRoy, Christian Clavette, Shraddha Nayak, Leah J. Damon, Ines H. Kaltheuner, Heeyoun Bunch, Lewis C. Cantley, Matthias Geyer, Janet Iwasa, Robin D. Dowell, David L. Bentley, William M. Old, Dylan J. Taatjes |
X Demographics
The data shown below were collected from the profiles of 25 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 | 14 | 56% |
| United Kingdom | 3 | 12% |
| Israel | 1 | 4% |
| Lebanon | 1 | 4% |
| Unknown | 6 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 64% |
| Scientists | 8 | 32% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 22% |
| Researcher | 15 | 22% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Postgraduate | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 18 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 35% |
| Agricultural and Biological Sciences | 9 | 13% |
| Chemistry | 6 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Medicine and Dentistry | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 18 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 79. 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 27 December 2020.
All research outputs
#520,947
of 24,780,938 outputs
Outputs from Genes & Development
#73
of 5,944 outputs
Outputs of similar age
#15,089
of 422,106 outputs
Outputs of similar age from Genes & Development
#1
of 37 outputs
Altmetric has tracked 24,780,938 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 5,944 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done particularly well, scoring higher than 98% 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 422,106 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 37 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 99% of its contemporaries.