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Mendeley readers
Attention Score in Context
| Title |
Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer
|
|---|---|
| Published in |
Cell, August 2018
|
| DOI | 10.1016/j.cell.2018.07.036 |
| Pubmed ID | |
| Authors |
A. Gordon Robertson, Jaegil Kim, Hikmat Al-Ahmadie, Joaquim Bellmunt, Guangwu Guo, Andrew D. Cherniack, Toshinori Hinoue, Peter W. Laird, Katherine A. Hoadley, Rehan Akbani, Mauro A.A. Castro, Ewan A. Gibb, Rupa S. Kanchi, Dmitry A. Gordenin, Sachet A. Shukla, Francisco Sanchez-Vega, Donna E. Hansel, Bogdan A. Czerniak, Victor E. Reuter, Xiaoping Su, Benilton de Sa Carvalho, Vinicius S. Chagas, Karen L. Mungall, Sara Sadeghi, Chandra Sekhar Pedamallu, Yiling Lu, Leszek J. Klimczak, Jiexin Zhang, Caleb Choo, Akinyemi I. Ojesina, Susan Bullman, Kristen M. Leraas, Tara M. Lichtenberg, Catherine J. Wu, Nicholaus Schultz, Gad Getz, Matthew Meyerson, Gordon B. Mills, David J. McConkey, TCGA Research Network, John N. Weinstein, David J. Kwiatkowski, Seth P. Lerner |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Lecturer | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 16% |
| Engineering | 2 | 11% |
| Medicine and Dentistry | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 10 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 22 May 2019.
All research outputs
#6,757,283
of 25,385,509 outputs
Outputs from Cell
#11,656
of 17,170 outputs
Outputs of similar age
#108,128
of 341,886 outputs
Outputs of similar age from Cell
#138
of 155 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 17,170 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.1. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 341,886 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.