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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Origin and Evolution of Mutations in Acute Myeloid Leukemia
|
|---|---|
| Published in |
Cell, July 2012
|
| DOI | 10.1016/j.cell.2012.06.023 |
| Pubmed ID | |
| Authors |
John S. Welch, Timothy J. Ley, Daniel C. Link, Christopher A. Miller, David E. Larson, Daniel C. Koboldt, Lukas D. Wartman, Tamara L. Lamprecht, Fulu Liu, Jun Xia, Cyriac Kandoth, Robert S. Fulton, Michael D. McLellan, David J. Dooling, John W. Wallis, Ken Chen, Christopher C. Harris, Heather K. Schmidt, Joelle M. Kalicki-Veizer, Charles Lu, Qunyuan Zhang, Ling Lin, Michelle D. O’Laughlin, Joshua F. McMichael, Kim D. Delehaunty, Lucinda A. Fulton, Vincent J. Magrini, Sean D. McGrath, Ryan T. Demeter, Tammi L. Vickery, Jasreet Hundal, Lisa L. Cook, Gary W. Swift, Jerry P. Reed, Patricia A. Alldredge, Todd N. Wylie, Jason R. Walker, Mark A. Watson, Sharon E. Heath, William D. Shannon, Nobish Varghese, Rakesh Nagarajan, Jacqueline E. Payton, Jack D. Baty, Shashikant Kulkarni, Jeffery M. Klco, Michael H. Tomasson, Peter Westervelt, Matthew J. Walter, Timothy A. Graubert, John F. DiPersio, Li Ding, Elaine R. Mardis, Richard K. Wilson |
| Abstract |
Most mutations in cancer genomes are thought to be acquired after the initiating event, which may cause genomic instability and drive clonal evolution. However, for acute myeloid leukemia (AML), normal karyotypes are common, and genomic instability is unusual. To better understand clonal evolution in AML, we sequenced the genomes of M3-AML samples with a known initiating event (PML-RARA) versus the genomes of normal karyotype M1-AML samples and the exomes of hematopoietic stem/progenitor cells (HSPCs) from healthy people. Collectively, the data suggest that most of the mutations found in AML genomes are actually random events that occurred in HSPCs before they acquired the initiating mutation; the mutational history of that cell is "captured" as the clone expands. In many cases, only one or two additional, cooperating mutations are needed to generate the malignant founding clone. Cells from the founding clone can acquire additional cooperating mutations, yielding subclones that can contribute to disease progression and/or relapse. |
X Demographics
The data shown below were collected from the profiles of 23 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 | 14 | 61% |
| Mexico | 2 | 9% |
| Japan | 2 | 9% |
| Germany | 1 | 4% |
| Unknown | 4 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 78% |
| Scientists | 3 | 13% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,665 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 30 | 2% |
| United Kingdom | 7 | <1% |
| Austria | 5 | <1% |
| Australia | 5 | <1% |
| Netherlands | 4 | <1% |
| Japan | 4 | <1% |
| Germany | 3 | <1% |
| Spain | 3 | <1% |
| Switzerland | 3 | <1% |
| Other | 21 | 1% |
| Unknown | 1580 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 364 | 22% |
| Researcher | 346 | 21% |
| Student > Master | 176 | 11% |
| Student > Bachelor | 159 | 10% |
| Student > Doctoral Student | 98 | 6% |
| Other | 259 | 16% |
| Unknown | 263 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 453 | 27% |
| Biochemistry, Genetics and Molecular Biology | 399 | 24% |
| Medicine and Dentistry | 325 | 20% |
| Immunology and Microbiology | 32 | 2% |
| Computer Science | 28 | 2% |
| Other | 126 | 8% |
| Unknown | 302 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 73. 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 28 March 2023.
All research outputs
#597,780
of 26,017,215 outputs
Outputs from Cell
#2,826
of 17,318 outputs
Outputs of similar age
#2,870
of 179,780 outputs
Outputs of similar age from Cell
#15
of 145 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 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.7. This one has done well, scoring higher than 83% 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 179,780 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 98% of its contemporaries.
We're also able to compare this research output to 145 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.