| Title |
Treatment recommendations to cancer patients in the context of FDA guidance for next generation sequencing
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2019
|
| DOI | 10.1186/s12911-019-0743-x |
| Pubmed ID | |
| Authors |
Grace K. Dy, Mary K. Nesline, Antonios Papanicolau-Sengos, Paul DePietro, Charles M. LeVea, Amy Early, Hongbin Chen, Anne Grand’Maison, Patrick Boland, Marc S. Ernstoff, Stephen Edge, Stacey Akers, Mateusz Opyrchal, Gurkamal Chatta, Kunle Odunsi, Sarabjot Pabla, Jeffrey M. Conroy, Sean T. Glenn, Hanchun T. DeFedericis, Blake Burgher, Jonathan Andreas, Vincent Giamo, Maochun Qin, Yirong Wang, Kazunori Kanehira, Felicia L. Lenzo, Peter Frederick, Shashikant Lele, Lorenzo Galluzzi, Boris Kuvshinoff, Carl Morrison |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 17% |
| Student > Master | 6 | 9% |
| Student > Ph. D. Student | 5 | 8% |
| Other | 5 | 8% |
| Student > Postgraduate | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 25 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 22% |
| Biochemistry, Genetics and Molecular Biology | 7 | 11% |
| Nursing and Health Professions | 5 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 6% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 26 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 February 2019.
All research outputs
#15,030,998
of 23,124,001 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,247
of 2,014 outputs
Outputs of similar age
#251,907
of 437,712 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#29
of 51 outputs
Altmetric has tracked 23,124,001 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,014 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 34th percentile – i.e., 34% 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 437,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.