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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations
|
|---|---|
| Published in |
Cell Systems, November 2017
|
| DOI | 10.1016/j.cels.2017.11.001 |
| Pubmed ID | |
| Authors |
Alexandra B. Keenan, Sherry L. Jenkins, Kathleen M. Jagodnik, Simon Koplev, Edward He, Denis Torre, Zichen Wang, Anders B. Dohlman, Moshe C. Silverstein, Alexander Lachmann, Maxim V. Kuleshov, Avi Ma'ayan, Vasileios Stathias, Raymond Terryn, Daniel Cooper, Michele Forlin, Amar Koleti, Dusica Vidovic, Caty Chung, Stephan C. Schürer, Jouzas Vasiliauskas, Marcin Pilarczyk, Behrouz Shamsaei, Mehdi Fazel, Yan Ren, Wen Niu, Nicholas A. Clark, Shana White, Naim Mahi, Lixia Zhang, Michal Kouril, John F. Reichard, Siva Sivaganesan, Mario Medvedovic, Jaroslaw Meller, Rick J. Koch, Marc R. Birtwistle, Ravi Iyengar, Eric A. Sobie, Evren U. Azeloglu, Julia Kaye, Jeannette Osterloh, Kelly Haston, Jaslin Kalra, Steve Finkbiener, Jonathan Li, Pamela Milani, Miriam Adam, Renan Escalante-Chong, Karen Sachs, Alex Lenail, Divya Ramamoorthy, Ernest Fraenkel, Gavin Daigle, Uzma Hussain, Alyssa Coye, Jeffrey Rothstein, Dhruv Sareen, Loren Ornelas, Maria Banuelos, Berhan Mandefro, Ritchie Ho, Clive N. Svendsen, Ryan G. Lim, Jennifer Stocksdale, Malcolm S. Casale, Terri G. Thompson, Jie Wu, Leslie M. Thompson, Victoria Dardov, Vidya Venkatraman, Andrea Matlock, Jennifer E. Van Eyk, Jacob D. Jaffe, Malvina Papanastasiou, Aravind Subramanian, Todd R. Golub, Sean D. Erickson, Mohammad Fallahi-Sichani, Marc Hafner, Nathanael S. Gray, Jia-Ren Lin, Caitlin E. Mills, Jeremy L. Muhlich, Mario Niepel, Caroline E. Shamu, Elizabeth H. Williams, David Wrobel, Peter K. Sorger, Laura M. Heiser, Joe W. Gray, James E. Korkola, Gordon B. Mills, Mark LaBarge, Heidi S. Feiler, Mark A. Dane, Elmar Bucher, Michel Nederlof, Damir Sudar, Sean Gross, David F. Kilburn, Rebecca Smith, Kaylyn Devlin, Ron Margolis, Leslie Derr, Albert Lee, Ajay Pillai |
X Demographics
The data shown below were collected from the profiles of 70 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 | 34 | 49% |
| United Kingdom | 5 | 7% |
| Singapore | 2 | 3% |
| India | 1 | 1% |
| Cameroon | 1 | 1% |
| Portugal | 1 | 1% |
| Chile | 1 | 1% |
| Brazil | 1 | 1% |
| Canada | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 16 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 34 | 49% |
| Scientists | 31 | 44% |
| Practitioners (doctors, other healthcare professionals) | 3 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
| Unknown | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 393 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 393 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 84 | 21% |
| Student > Ph. D. Student | 66 | 17% |
| Student > Master | 42 | 11% |
| Other | 20 | 5% |
| Student > Bachelor | 19 | 5% |
| Other | 70 | 18% |
| Unknown | 92 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 96 | 24% |
| Agricultural and Biological Sciences | 53 | 13% |
| Medicine and Dentistry | 25 | 6% |
| Computer Science | 21 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 15 | 4% |
| Other | 65 | 17% |
| Unknown | 118 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 26 March 2024.
All research outputs
#945,165
of 26,017,215 outputs
Outputs from Cell Systems
#211
of 990 outputs
Outputs of similar age
#21,129
of 452,579 outputs
Outputs of similar age from Cell Systems
#8
of 37 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 990 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.3. This one has done well, scoring higher than 78% 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 452,579 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 95% 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 well, scoring higher than 78% of its contemporaries.