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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mutational processes shape the landscape of TP53 mutations in human cancer
|
|---|---|
| Published in |
Nature Genetics, September 2018
|
| DOI | 10.1038/s41588-018-0204-y |
| Pubmed ID | |
| Authors |
Andrew O. Giacomelli, Xiaoping Yang, Robert E. Lintner, James M. McFarland, Marc Duby, Jaegil Kim, Thomas P. Howard, David Y. Takeda, Seav Huong Ly, Eejung Kim, Hugh S. Gannon, Brian Hurhula, Ted Sharpe, Amy Goodale, Briana Fritchman, Scott Steelman, Francisca Vazquez, Aviad Tsherniak, Andrew J. Aguirre, John G. Doench, Federica Piccioni, Charles W. M. Roberts, Matthew Meyerson, Gad Getz, Cory M. Johannessen, David E. Root, William C. Hahn |
X Demographics
The data shown below were collected from the profiles of 161 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 | 62 | 39% |
| United Kingdom | 15 | 9% |
| France | 7 | 4% |
| Australia | 5 | 3% |
| Canada | 3 | 2% |
| Austria | 3 | 2% |
| Germany | 2 | 1% |
| Finland | 2 | 1% |
| Saudi Arabia | 2 | 1% |
| Other | 12 | 7% |
| Unknown | 48 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 82 | 51% |
| Members of the public | 73 | 45% |
| Practitioners (doctors, other healthcare professionals) | 4 | 2% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 432 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 432 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 88 | 20% |
| Researcher | 73 | 17% |
| Student > Bachelor | 40 | 9% |
| Student > Master | 30 | 7% |
| Student > Doctoral Student | 20 | 5% |
| Other | 53 | 12% |
| Unknown | 128 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 133 | 31% |
| Agricultural and Biological Sciences | 68 | 16% |
| Medicine and Dentistry | 54 | 13% |
| Computer Science | 10 | 2% |
| Immunology and Microbiology | 7 | 2% |
| Other | 30 | 7% |
| Unknown | 130 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 99. 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 April 2024.
All research outputs
#438,906
of 25,874,560 outputs
Outputs from Nature Genetics
#880
of 7,640 outputs
Outputs of similar age
#9,218
of 352,699 outputs
Outputs of similar age from Nature Genetics
#24
of 81 outputs
Altmetric has tracked 25,874,560 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,640 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.8. This one has done well, scoring higher than 88% 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 352,699 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 81 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.