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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epigenetic inactivation of mir-34b/c in addition to mir-34a and DAPK1 in chronic lymphocytic leukemia
|
|---|---|
| Published in |
Journal of Translational Medicine, February 2014
|
| DOI | 10.1186/1479-5876-12-52 |
| Pubmed ID | |
| Authors |
Lu Qian Wang, Yok Lam Kwong, Kit Fai Wong, Chi Shan Bonnie Kho, Dong Yan Jin, Eric Tse, Anders Rosèn, Chor Sang Chim |
| Abstract |
TP53 mutation/deletion is uncommon in chronic lymphocytic leukemia (CLL). We postulated that components of TP53-centered tumor suppressor network, miR-34b/c, in addition to DAPK1 and miR-34a might be inactivated by DNA hypermethylation. Moreover, we tested if miR-34b/c methylation might correlate with miR-203 or miR-124-1 methylation in CLL. |
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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 27% |
| Researcher | 5 | 15% |
| Student > Master | 4 | 12% |
| Other | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 24% |
| Agricultural and Biological Sciences | 7 | 21% |
| Medicine and Dentistry | 3 | 9% |
| Environmental Science | 2 | 6% |
| Unspecified | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 5 | 15% |
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 23 February 2014.
All research outputs
#20,221,866
of 22,745,803 outputs
Outputs from Journal of Translational Medicine
#3,305
of 3,976 outputs
Outputs of similar age
#193,379
of 224,804 outputs
Outputs of similar age from Journal of Translational Medicine
#35
of 56 outputs
Altmetric has tracked 22,745,803 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 3,976 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. 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 224,804 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 56 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.