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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Discovery and characterization of a novel CCND1/MRCK gene fusion in mantle cell lymphoma
|
|---|---|
| Published in |
Journal of Hematology & Oncology, March 2016
|
| DOI | 10.1186/s13045-016-0260-7 |
| Pubmed ID | |
| Authors |
Chioniso Patience Masamha, Todd R. Albrecht, Eric J. Wagner |
| Abstract |
The t(11;14) translocation resulting in constitutive cyclin D1 expression is an early event in mantle cell lymphoma (MCL) transformation. Patients with a highly proliferative phenotype produce cyclin D1 transcripts with truncated 3'UTRs that evade miRNA regulation. Here, we report the recurrence of a novel gene fusion in MCL cell lines and MCL patient isolates that consists of the full protein coding region of cyclin D1 (CCND1) and a 3'UTR consisting of sequences from both the CCND1 3'UTR and myotonic dystrophy kinase-related Cdc42-binding kinase's (MRCK) intron one. The resulting CCND1/MRCK mRNA is resistant to CCND1-targeted miRNA regulation, and targeting the MRCK region of the chimeric 3'UTR with siRNA results in decreased CCND1 levels. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 27% |
| Student > Ph. D. Student | 3 | 20% |
| Researcher | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 40% |
| Medicine and Dentistry | 2 | 13% |
| Agricultural and Biological Sciences | 2 | 13% |
| Chemical Engineering | 1 | 7% |
| Unknown | 4 | 27% |
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 06 May 2016.
All research outputs
#14,843,597
of 22,858,915 outputs
Outputs from Journal of Hematology & Oncology
#723
of 1,192 outputs
Outputs of similar age
#170,728
of 300,926 outputs
Outputs of similar age from Journal of Hematology & Oncology
#11
of 33 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% 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 35th percentile – i.e., 35% 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 300,926 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.