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Attention over time
Attention Score history
Activity
X Demographics
Mendeley demographics
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Attention Score in Context
| Title |
Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma
|
|---|---|
| Published in |
Cell, January 2020
|
| DOI | 10.1016/j.cell.2019.12.026 |
| Pubmed ID | |
| Authors |
David J. Clark, Saravana M. Dhanasekaran, Francesca Petralia, Jianbo Pan, Xiaoyu Song, Yingwei Hu, Felipe da Veiga Leprevost, Boris Reva, Tung-Shing M. Lih, Hui-Yin Chang, Weiping Ma, Chen Huang, Christopher J. Ricketts, Lijun Chen, Azra Krek, Yize Li, Dmitry Rykunov, Qing Kay Li, Lin S. Chen, Umut Ozbek, Suhas Vasaikar, Yige Wu, Seungyeul Yoo, Shrabanti Chowdhury, Matthew A. Wyczalkowski, Jiayi Ji, Michael Schnaubelt, Andy Kong, Sunantha Sethuraman, Dmitry M. Avtonomov, Minghui Ao, Antonio Colaprico, Song Cao, Kyung-Cho Cho, Selim Kalayci, Shiyong Ma, Wenke Liu, Kelly Ruggles, Anna Calinawan, Zeynep H. Gümüş, Daniel Geiszler, Emily Kawaler, Guo Ci Teo, Bo Wen, Yuping Zhang, Sarah Keegan, Kai Li, Feng Chen, Nathan Edwards, Phillip M. Pierorazio, Xi Steven Chen, Christian P. Pavlovich, A. Ari Hakimi, Gabriel Brominski, James J. Hsieh, Andrzej Antczak, Tatiana Omelchenko, Jan Lubinski, Maciej Wiznerowicz, W. Marston Linehan, Christopher R. Kinsinger, Mathangi Thiagarajan, Emily S. Boja, Mehdi Mesri, Tara Hiltke, Ana I. Robles, Henry Rodriguez, Jiang Qian, David Fenyö, Bing Zhang, Li Ding, Eric Schadt, Arul M. Chinnaiyan, Zhen Zhang, Gilbert S. Omenn, Marcin Cieslik, Daniel W. Chan, Alexey I. Nesvizhskii, Pei Wang, Hui Zhang, Clinical Proteomic Tumor Analysis Consortium, Abdul Samad Hashimi, Alexander R. Pico, Alla Karpova, Alyssa Charamut, Amanda G. Paulovich, Amy M. Perou, Anna Malovannaya, Annette Marrero-Oliveras, Anupriya Agarwal, Barbara Hindenach, Barbara Pruetz, Beom-Jun Kim, Brian J. Druker, Chelsea J. Newton, Chet Birger, Corbin D. Jones, Cristina Tognon, D.R. Mani, Dana R. Valley, Daniel C. Rohrer, Daniel C. Zhou, Darlene Tansil, David Chesla, David Heiman, David Wheeler, Donghui Tan, Doug Chan, Emek Demir, Ewa Malc, Francesmary Modugno, Gaddy Getz, Galen Hostetter, George D. Wilson, Gerald W. Hart, Heng Zhu, Hongwei Liu, Houston Culpepper, Hua Sun, Hua Zhou, Jacob Day, James Suh, Jasmine Huang, Jason McDermott, Jeffrey R. Whiteaker, Jeffrey W. Tyner, Jennifer Eschbacher, Jin Chen, John McGee, Jun Zhu, Karen A. Ketchum, Karin D. Rodland, Karl Clauser, Karna Robinson, Karsten Krug, Katherine A. Hoadley, Ki Sung Um, Kim Elburn, Kimberly Holloway, Liang-Bo Wang, Lili Blumenberg, Linda Hannick, Liqun Qi, Lori J. Sokoll, MacIntosh Cornwell, Marc Loriaux, Marcin J. Domagalski, Marina A. Gritsenko, Matthew Anderson, Matthew E. Monroe, Matthew J. Ellis, Maureen Dyer, Meenakshi Anurag, Meghan C. Burke, Melissa Borucki, Michael A. Gillette, Michael J. Birrer, Michael Lewis, Michael M. Ittmann, Michael Smith, Michael Vernon, Michelle Chaikin, Milan G. Chheda, Munziba Khan, Nancy Roche, Nathan J. Edwards, Negin Vatanian, Nicole Tignor, Noam Beckmann, Pamela Grady, Patricia Castro, Paul Piehowski, Peter B. McGarvey, Piotr Mieczkowski, Pushpa Hariharan, Qingsong Gao, Rajiv Dhir, Ramani Bhupendra Kothadia, Ratna R. Thangudu, Rebecca Montgomery, Reyka G. Jayasinghe, Richard D. Smith, Robert Edwards, Robert Zelt, Ross Bremner, Ruiyang Liu, Runyu Hong, Sailaja Mareedu, Samuel H. Payne, Sandra Cottingham, Sanford P. Markey, Scott D. Jewell, Shalin Patel, Shankha Satpathy, Shannon Richey, Sherri R. Davies, Shuang Cai, Simina M. Boca, Snehal Patil, Sohini Sengupta, Sonya Carter, Stacey Gabriel, Stefani N. Thomas, Stephanie De Young, Stephen E. Stein, Steven A. Carr, Steven M. Foltz, Sue Hilsenbeck, Tanya Krubit, Tao Liu, Tara Skelly, Thomas Westbrook, Uma Borate, Uma Velvulou, Vladislav A. Petyuk, William E. Bocik, Xi Chen, Yan Shi, Yifat Geffen, Yihao Lu, Ying Wang, Yosef Maruvka, Zhi Li, Zhiao Shi, Zhidong Tu |
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X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley demographics
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 16% |
| Student > Doctoral Student | 3 | 8% |
| Professor | 3 | 8% |
| Student > Master | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 8 | 22% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 32% |
| Agricultural and Biological Sciences | 3 | 8% |
| Unspecified | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Arts and Humanities | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 13 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 02 November 2023.
All research outputs
#702,113
of 34,115,020 outputs
Outputs from Cell
#3,325
of 19,498 outputs
Outputs of similar age
#13,809
of 524,950 outputs
Outputs of similar age from Cell
#60
of 116 outputs
Altmetric has tracked 34,115,020 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 19,498 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 62.9. This one has done well, scoring higher than 82% 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 524,950 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 116 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.