| Title |
Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation
|
|---|---|
| Published in |
Cell, August 2023
|
| DOI | 10.1016/j.cell.2023.07.013 |
| Pubmed ID | |
| Authors |
Yifat Geffen, Shankara Anand, Yo Akiyama, Tomer M. Yaron, Yizhe Song, Jared L. Johnson, Akshay Govindan, Özgün Babur, Yize Li, Emily Huntsman, Liang-Bo Wang, Chet Birger, David I. Heiman, Qing Zhang, Mendy Miller, Yosef E. Maruvka, Nicholas J. Haradhvala, Anna Calinawan, Saveliy Belkin, Alexander Kerelsky, Karl R. Clauser, Karsten Krug, Shankha Satpathy, Samuel H. Payne, D.R. Mani, Michael A. Gillette, Saravana M. Dhanasekaran, Mathangi Thiagarajan, Mehdi Mesri, Henry Rodriguez, Ana I. Robles, Steven A. Carr, Alexander J. Lazar, François Aguet, Lewis C. Cantley, Li Ding, Gad Getz, Eunkyung An, Meenakshi Anurag, Jasmin Bavarva, Michael J. Birrer, Özgün Babur, Song Cao, Michele Ceccarelli, Daniel W. Chan, Arul M. Chinnaiyan, Hanbyul Cho, Shrabanti Chowdhury, Marcin P. Cieslik, Antonio Colaprico, Steven A. Carr, Felipe da Veiga Leprevost, Corbin Day, Marcin J. Domagalski, Yongchao Dou, Brian J. Druker, Nathan Edwards, Matthew J. Ellis, David Fenyo, Steven M. Foltz, Alicia Francis, Tania J. Gonzalez Robles, Sara J.C. Gosline, Zeynep H. Gümüş, Tara Hiltke, Runyu Hong, Galen Hostetter, Yingwei Hu, Chen Huang, Antonio Iavarone, Eric J. Jaehnig, Scott D. Jewel, Jiayi Ji, Wen Jiang, Lizabeth Katsnelson, Karen A. Ketchum, Iga Kolodziejczak, Chandan Kumar-Sinha, Karsten Krug, Jonathan T. Lei, Wen-Wei Liang, Yuxing Liao, Caleb M. Lindgren, Tao Liu, Wenke Liu, Weiping Ma, Wilson McKerrow, Mehdi Mesri, D.R. Mani, Alexey I. Nesvizhskii, Chelsea Newton, Robert Oldroyd, Gilbert S. Omenn, Amanda G. Paulovich, Francesca Petralia, Pietro Pugliese, Boris Reva, Karin D. Rodland, Kelly V. Ruggles, Dmitry Rykunov, Fernanda Martins Rodrigues, Sara R. Savage, Eric E. Schadt, Michael Schnaubelt, Tobias Schraink, Zhiao Shi, Richard D. Smith, Xiaoyu Song, Vasileios Stathias, Erik P. Storrs, Stephan Schürer, Myvizhi Esai Selvan, Jimin Tan, Nadezhda V. Terekhanova, Ratna R. Thangudu, Nicole Tignor, Mathangi Thiagarajan, Joshua M. Wang, Pei Wang, Ying Wang, Bo Wen, Maciej Wiznerowicz, Yige Wu, Matthew A. Wyczalkowski, Lijun Yao, Xinpei Yi, Lijun Yao, Bing Zhang, Hui Zhang, Xu Zhang, Zhen Zhang, Daniel Cui Zhou |
X Demographics
The data shown below were collected from the profiles of 229 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 | 49 | 21% |
| Canada | 7 | 3% |
| United Kingdom | 7 | 3% |
| India | 6 | 3% |
| China | 6 | 3% |
| Germany | 6 | 3% |
| France | 5 | 2% |
| Mexico | 5 | 2% |
| Italy | 4 | 2% |
| Other | 32 | 14% |
| Unknown | 102 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 119 | 52% |
| Scientists | 91 | 40% |
| Practitioners (doctors, other healthcare professionals) | 12 | 5% |
| Science communicators (journalists, bloggers, editors) | 7 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 132 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 21% |
| Student > Ph. D. Student | 25 | 19% |
| Student > Bachelor | 9 | 7% |
| Professor > Associate Professor | 7 | 5% |
| Student > Master | 6 | 5% |
| Other | 19 | 14% |
| Unknown | 38 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 45 | 34% |
| Agricultural and Biological Sciences | 14 | 11% |
| Medicine and Dentistry | 9 | 7% |
| Immunology and Microbiology | 5 | 4% |
| Unspecified | 4 | 3% |
| Other | 14 | 11% |
| Unknown | 41 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 338. 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
#99,592
of 25,775,807 outputs
Outputs from Cell
#589
of 17,278 outputs
Outputs of similar age
#1,913
of 359,468 outputs
Outputs of similar age from Cell
#17
of 105 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,278 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.7. This one has done particularly well, scoring higher than 96% 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 359,468 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 99% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.