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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inhibition of long non-coding RNA NEAT1 impairs myeloid differentiation in acute promyelocytic leukemia cells
|
|---|---|
| Published in |
BMC Cancer, September 2014
|
| DOI | 10.1186/1471-2407-14-693 |
| Pubmed ID | |
| Authors |
Chengwu Zeng, Yan Xu, Ling Xu, Xibao Yu, Jingjing Cheng, Lijian Yang, Shaohua Chen, Yangqiu Li |
| Abstract |
Acute promyelocytic leukemia (APL) is characterized by the reciprocal translocation t(15;17), which fuses PML with retinoic acid receptor alpha (RARα). Although PML-RARα is crucially important for pathogenesis and responsiveness to treatment, the molecular and cellular mechanisms by which PML-RARα exerts its oncogenic potential have not been fully elucidated. Recent reports have suggested that long non-coding RNAs (lncRNAs) contribute to the precise control of gene expression and are involved in human diseases. Little is known about the role of lncRNA in APL. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 43% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
| Members of the public | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 1% |
| Unknown | 95 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 24% |
| Researcher | 16 | 17% |
| Student > Master | 16 | 17% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 19 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 34 | 35% |
| Agricultural and Biological Sciences | 27 | 28% |
| Immunology and Microbiology | 5 | 5% |
| Medicine and Dentistry | 2 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 6 | 6% |
| Unknown | 21 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 September 2014.
All research outputs
#7,446,570
of 22,764,165 outputs
Outputs from BMC Cancer
#2,058
of 8,278 outputs
Outputs of similar age
#81,729
of 251,975 outputs
Outputs of similar age from BMC Cancer
#37
of 158 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,278 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 68% 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 251,975 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 158 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 72% of its contemporaries.