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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tumor fraction-guided cell-free DNA profiling in metastatic solid tumor patients
|
|---|---|
| Published in |
Genome Medicine, May 2021
|
| DOI | 10.1186/s13073-021-00898-8 |
| Pubmed ID | |
| Authors |
Dana W. Y. Tsui, Michael L. Cheng, Maha Shady, Julie L. Yang, Dennis Stephens, Helen Won, Preethi Srinivasan, Kety Huberman, Fanli Meng, Xiaohong Jing, Juber Patel, Maysun Hasan, Ian Johnson, Erika Gedvilaite, Brian Houck-Loomis, Nicholas D. Socci, S. Duygu Selcuklu, Venkatraman E. Seshan, Hongxin Zhang, Debyani Chakravarty, Ahmet Zehir, Ryma Benayed, Maria Arcila, Marc Ladanyi, Samuel A. Funt, Darren R. Feldman, Bob T. Li, Pedram Razavi, Jonathan Rosenberg, Dean Bajorin, Gopa Iyer, Wassim Abida, Howard I. Scher, Dana Rathkopf, Agnes Viale, Michael F. Berger, David B. Solit |
X Demographics
The data shown below were collected from the profiles of 12 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 | 5 | 42% |
| Brazil | 1 | 8% |
| United Kingdom | 1 | 8% |
| India | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 20% |
| Student > Ph. D. Student | 9 | 14% |
| Student > Bachelor | 5 | 8% |
| Other | 4 | 6% |
| Professor > Associate Professor | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 27 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 21% |
| Biochemistry, Genetics and Molecular Biology | 11 | 17% |
| Agricultural and Biological Sciences | 4 | 6% |
| Nursing and Health Professions | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 32 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 10 June 2021.
All research outputs
#5,706,761
of 23,511,526 outputs
Outputs from Genome Medicine
#977
of 1,464 outputs
Outputs of similar age
#120,456
of 448,738 outputs
Outputs of similar age from Genome Medicine
#43
of 55 outputs
Altmetric has tracked 23,511,526 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 32nd percentile – i.e., 32% 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 448,738 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 73% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.