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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Aberrant splicing and drug resistance in AML
|
|---|---|
| Published in |
Journal of Hematology & Oncology, September 2016
|
| DOI | 10.1186/s13045-016-0315-9 |
| Pubmed ID | |
| Authors |
Rosalia de Necochea-Campion, Geoffrey P. Shouse, Qi Zhou, Saied Mirshahidi, Chien-Shing Chen |
| Abstract |
The advent of next-generation sequencing technologies has unveiled a new window into the heterogeneity of acute myeloid leukemia (AML). In particular, recurrent mutations in spliceosome machinery and genome-wide aberrant splicing events have been recognized as a prominent component of this disease. This review will focus on how these factors influence drug resistance through altered splicing of tumor suppressor and oncogenes and dysregulation of the apoptotic signaling network. A better understanding of these factors in disease progression is necessary to design appropriate therapeutic strategies recognizing specific alternatively spliced or mutated oncogenic targets. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 1% |
| Unknown | 86 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 24% |
| Student > Master | 14 | 16% |
| Researcher | 12 | 14% |
| Student > Bachelor | 7 | 8% |
| Professor | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 18 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 33 | 38% |
| Medicine and Dentistry | 13 | 15% |
| Agricultural and Biological Sciences | 9 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 6 | 7% |
| Unknown | 20 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 September 2016.
All research outputs
#20,341,859
of 22,888,307 outputs
Outputs from Journal of Hematology & Oncology
#1,035
of 1,192 outputs
Outputs of similar age
#283,166
of 325,670 outputs
Outputs of similar age from Journal of Hematology & Oncology
#21
of 27 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,192 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 1st percentile – i.e., 1% 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 325,670 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.