| Title |
Patterns of Resistance Differ in Patients with Acute Myeloid Leukemia Treated with Type I versus Type II FLT3-inhibitors
|
|---|---|
| Published in |
Blood Cancer Discovery, December 2020
|
| DOI | 10.1158/2643-3230.bcd-20-0143 |
| Pubmed ID | |
| Authors |
Ahmad S Alotaibi, Musa Yilmaz, Rashmi Kanagal-Shamanna, Sanam Loghavi, Tapan M Kadia, Courtney D DiNardo, Gautam Borthakur, Marina Konopleva, Sherry A Pierce, Sa A Wang, Guilin Tang, Veronica Guerra, Bachar Samra, Naveen Pemmaraju, Elias Jabbour, Nicholas J Short, Ghayas C Issa, Maro Ohanian, Guillermo Garcia-Manero, Kapil N Bhalla, Keyur P Patel, Koichi Takahashi, Michael Andreeff, Jorge E Cortes, Hagop M Kantarjian, Farhad Ravandi, Naval Daver |
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 | 31 | 55% |
| Saudi Arabia | 2 | 4% |
| Canada | 1 | 2% |
| Spain | 1 | 2% |
| Mexico | 1 | 2% |
| India | 1 | 2% |
| Unknown | 19 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 52% |
| Scientists | 20 | 36% |
| Practitioners (doctors, other healthcare professionals) | 5 | 9% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Bachelor | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Other | 3 | 8% |
| Professor > Associate Professor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 15 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 31% |
| Biochemistry, Genetics and Molecular Biology | 10 | 26% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Immunology and Microbiology | 1 | 3% |
| Unknown | 14 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 July 2021.
All research outputs
#1,203,036
of 25,387,668 outputs
Outputs from Blood Cancer Discovery
#49
of 206 outputs
Outputs of similar age
#32,389
of 518,419 outputs
Outputs of similar age from Blood Cancer Discovery
#5
of 25 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 206 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 well, scoring higher than 75% 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 518,419 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 93% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.