| Title |
Personalized Single-Cell Proteogenomics to Distinguish Acute Myeloid Leukemia from Nonmalignant Clonal Hematopoiesis
|
|---|---|
| Published in |
Blood Cancer Discovery, May 2021
|
| DOI | 10.1158/2643-3230.bcd-21-0046 |
| Pubmed ID | |
| Authors |
Laura W. Dillon, Jack Ghannam, Chidera Nosiri, Gege Gui, Meghali Goswami, Katherine R. Calvo, Katherine E. Lindblad, Karolyn A. Oetjen, Matthew D. Wilkerson, Anthony R. Soltis, Gauthaman Sukumar, Clifton L. Dalgard, Julie Thompson, Janet Valdez, Christin B. DeStefano, Catherine Lai, Adam Sciambi, Robert Durruthy-Durruthy, Aaron Llanso, Saurabh Gulati, Shu Wang, Aik Ooi, Pradeep K. Dagur, J. Philip McCoy, Patrick Burr, Yuesheng Li, Christopher S. Hourigan |
X Demographics
The data shown below were collected from the profiles of 56 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 | 25 | 45% |
| United Kingdom | 5 | 9% |
| India | 2 | 4% |
| Switzerland | 1 | 2% |
| Spain | 1 | 2% |
| Germany | 1 | 2% |
| France | 1 | 2% |
| Norway | 1 | 2% |
| Italy | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 17 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 59% |
| Scientists | 17 | 30% |
| Practitioners (doctors, other healthcare professionals) | 3 | 5% |
| Science communicators (journalists, bloggers, editors) | 3 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 21% |
| Student > Ph. D. Student | 11 | 18% |
| Unspecified | 2 | 3% |
| Professor > Associate Professor | 2 | 3% |
| Student > Master | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 26 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 23% |
| Medicine and Dentistry | 5 | 8% |
| Agricultural and Biological Sciences | 4 | 6% |
| Unspecified | 2 | 3% |
| Mathematics | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 30 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 84. 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 January 2023.
All research outputs
#515,415
of 25,837,817 outputs
Outputs from Blood Cancer Discovery
#16
of 212 outputs
Outputs of similar age
#14,292
of 462,939 outputs
Outputs of similar age from Blood Cancer Discovery
#2
of 22 outputs
Altmetric has tracked 25,837,817 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 212 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.8. This one has done particularly well, scoring higher than 92% 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 462,939 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 96% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.