| Title |
Pan-cancer proteogenomics characterization of tumor immunity
|
|---|---|
| Published in |
Cell, February 2024
|
| DOI | 10.1016/j.cell.2024.01.027 |
| Pubmed ID | |
| Authors |
Francesca Petralia, Weiping Ma, Tomer M. Yaron, Francesca Pia Caruso, Nicole Tignor, Joshua M. Wang, Daniel Charytonowicz, Jared L. Johnson, Emily M. Huntsman, Giacomo B. Marino, Anna Calinawan, John Erol Evangelista, Myvizhi Esai Selvan, Shrabanti Chowdhury, Dmitry Rykunov, Azra Krek, Xiaoyu Song, Berk Turhan, Karen E. Christianson, David A. Lewis, Eden Z. Deng, Daniel J.B. Clarke, Jeffrey R. Whiteaker, Jacob J. Kennedy, Lei Zhao, Rossana Lazcano Segura, Harsh Batra, Maria Gabriela Raso, Edwin Roger Parra, Rama Soundararajan, Ximing Tang, Yize Li, Xinpei Yi, Shankha Satpathy, Ying Wang, Maciej Wiznerowicz, Tania J. González-Robles, Antonio Iavarone, Sara J.C. Gosline, Boris Reva, Ana I. Robles, Alexey I. Nesvizhskii, D.R. Mani, Michael A. Gillette, Robert J. Klein, Marcin Cieslik, Bing Zhang, Amanda G. Paulovich, Robert Sebra, Zeynep H. Gümüş, Galen Hostetter, David Fenyö, Gilbert S. Omenn, Lewis C. Cantley, Avi Ma'ayan, Alexander J. Lazar, Michele Ceccarelli, Pei Wang, Clinical Proteomic Tumor Analysis Consortium, Jennifer Abelin, François Aguet, Yo Akiyama, Eunkyung An, Shankara Anand, Meenakshi Anurag, Özgün Babur, Jasmin Bavarva, Chet Birger, Michael J. Birrer, Song Cao, Steven A. Carr, Daniel W. Chan, Arul M. Chinnaiyan, Hanbyul Cho, Karl Clauser, Antonio Colaprico, Daniel Cui Zhou, Felipe da Veiga Leprevost, Corbin Day, Saravana M. Dhanasekaran, Li Ding, Marcin J. Domagalski, Yongchao Dou, Brian J. Druker, Nathan Edwards, Matthew J. Ellis, Steven M. Foltz, Alicia Francis, Yifat Geffen, Gad Getz, David I. Heiman, Runyu Hong, Yingwei Hu, Chen Huang, Eric J. Jaehnig, Scott D. Jewell, Jiayi Ji, Wen Jiang, Lizabeth Katsnelson, Karen A. Ketchum, Iga Kolodziejczak, Karsten Krug, Chandan Kumar-Sinha, Jonathan T. Lei, Wen-Wei Liang, Yuxing Liao, Caleb M. Lindgren, Tao Liu, Wenke Liu, Jason McDermott, Wilson McKerrow, Mehdi Mesri, Michael Brodie Mumphrey, Chelsea J. Newton, Robert Oldroyd, Samuel H. Payne, Pietro Pugliese, Karin D. Rodland, Fernanda Martins Rodrigues, Kelly V. Ruggles, Sara R. Savage, Eric E. Schadt, Michael Schnaubelt, Tobias Schraink, Stephan Schürer, Zhiao Shi, Richard D. Smith, Feng Song, Yizhe Song, Vasileios Stathias, Erik P. Storrs, Jimin Tan, Nadezhda V. Terekhanova, Ratna R. Thangudu, Mathangi Thiagarajan, Liang-Bo Wang, Bo Wen, Yige Wu, Matthew A. Wyczalkowski, Lijun Yao, Qing Kay Li, Hui Zhang, Qing Zhang, Xu Zhang, Zhen Zhang |
X Demographics
The data shown below were collected from the profiles of 354 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 | 92 | 26% |
| United Kingdom | 12 | 3% |
| Germany | 9 | 3% |
| Italy | 9 | 3% |
| India | 7 | 2% |
| Japan | 6 | 2% |
| Australia | 6 | 2% |
| Spain | 6 | 2% |
| Mexico | 6 | 2% |
| Other | 52 | 15% |
| Unknown | 149 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 222 | 63% |
| Scientists | 109 | 31% |
| Practitioners (doctors, other healthcare professionals) | 13 | 4% |
| Science communicators (journalists, bloggers, editors) | 9 | 3% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 106 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 17% |
| Student > Ph. D. Student | 12 | 11% |
| Student > Postgraduate | 5 | 5% |
| Professor | 5 | 5% |
| Student > Master | 5 | 5% |
| Other | 16 | 15% |
| Unknown | 45 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 18% |
| Agricultural and Biological Sciences | 14 | 13% |
| Immunology and Microbiology | 12 | 11% |
| Medicine and Dentistry | 5 | 5% |
| Unspecified | 4 | 4% |
| Other | 7 | 7% |
| Unknown | 45 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 278. 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 17 May 2024.
All research outputs
#132,104
of 25,935,829 outputs
Outputs from Cell
#753
of 17,325 outputs
Outputs of similar age
#1,914
of 365,019 outputs
Outputs of similar age from Cell
#19
of 146 outputs
Altmetric has tracked 25,935,829 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 17,325 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 60.1. This one has done particularly well, scoring higher than 95% 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 365,019 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 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.