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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CDK9 inhibitors in acute myeloid leukemia
|
|---|---|
| Published in |
Journal of Experimental & Clinical Cancer Research, February 2018
|
| DOI | 10.1186/s13046-018-0704-8 |
| Pubmed ID | |
| Authors |
Silvia Boffo, Angela Damato, Luigi Alfano, Antonio Giordano |
| Abstract |
Current treatment for acute myeloid leukemia (AML) is less than optimal, but increased understanding of disease pathobiology and genomics has led to clinical investigation of novel targeted therapies and rational combinations. Targeting the cyclin-dependent kinase 9 (CDK9) pathway, which is dysregulated in AML, is an attractive approach. Inhibition of CDK9 leads to downregulation of cell survival genes regulated by super enhancers such as MCL-1, MYC, and cyclin D1. As CDK9 inhibitors are nonselective, predictive biomarkers that may help identify patients most likely to respond to CDK9 inhibitors are now being utilized, with the goal of improving efficacy and safety. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 50% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 102 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 16% |
| Student > Bachelor | 13 | 13% |
| Researcher | 11 | 11% |
| Student > Master | 10 | 10% |
| Other | 8 | 8% |
| Other | 13 | 13% |
| Unknown | 31 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 24% |
| Medicine and Dentistry | 15 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 9% |
| Chemistry | 6 | 6% |
| Agricultural and Biological Sciences | 5 | 5% |
| Other | 13 | 13% |
| Unknown | 30 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 08 February 2024.
All research outputs
#848,179
of 25,382,440 outputs
Outputs from Journal of Experimental & Clinical Cancer Research
#29
of 2,380 outputs
Outputs of similar age
#19,197
of 343,867 outputs
Outputs of similar age from Journal of Experimental & Clinical Cancer Research
#1
of 41 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,380 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 343,867 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 94% of its contemporaries.
We're also able to compare this research output to 41 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 97% of its contemporaries.