| Title |
Synthetic lethality-mediated precision oncology via the tumor transcriptome
|
|---|---|
| Published in |
Cell, April 2021
|
| DOI | 10.1016/j.cell.2021.03.030 |
| Pubmed ID | |
| Authors |
Joo Sang Lee, Nishanth Ulhas Nair, Gal Dinstag, Lesley Chapman, Youngmin Chung, Kun Wang, Sanju Sinha, Hongui Cha, Dasol Kim, Alexander V. Schperberg, Ajay Srinivasan, Vladimir Lazar, Eitan Rubin, Sohyun Hwang, Raanan Berger, Tuvik Beker, Ze’ev Ronai, Sridhar Hannenhalli, Mark R. Gilbert, Razelle Kurzrock, Se-Hoon Lee, Kenneth Aldape, Eytan Ruppin |
X Demographics
The data shown below were collected from the profiles of 176 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 | 57 | 32% |
| Canada | 9 | 5% |
| United Kingdom | 5 | 3% |
| Spain | 5 | 3% |
| Germany | 4 | 2% |
| France | 3 | 2% |
| Italy | 3 | 2% |
| China | 3 | 2% |
| Israel | 3 | 2% |
| Other | 24 | 14% |
| Unknown | 60 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 85 | 48% |
| Members of the public | 75 | 43% |
| Practitioners (doctors, other healthcare professionals) | 14 | 8% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 284 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 67 | 24% |
| Student > Ph. D. Student | 41 | 14% |
| Student > Master | 19 | 7% |
| Student > Bachelor | 18 | 6% |
| Professor > Associate Professor | 11 | 4% |
| Other | 36 | 13% |
| Unknown | 92 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 74 | 26% |
| Medicine and Dentistry | 28 | 10% |
| Agricultural and Biological Sciences | 25 | 9% |
| Computer Science | 16 | 6% |
| Immunology and Microbiology | 10 | 4% |
| Other | 34 | 12% |
| Unknown | 97 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 129. 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 2022.
All research outputs
#312,148
of 24,900,093 outputs
Outputs from Cell
#1,702
of 17,094 outputs
Outputs of similar age
#9,121
of 432,449 outputs
Outputs of similar age from Cell
#69
of 171 outputs
Altmetric has tracked 24,900,093 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 17,094 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 58.1. This one has done particularly well, scoring higher than 90% 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 432,449 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 171 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 60% of its contemporaries.