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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Manipulating the epigenome for the treatment of disorders with thrombotic complications
|
|---|---|
| Published in |
Drug Discovery Today, January 2018
|
| DOI | 10.1016/j.drudis.2018.01.004 |
| Pubmed ID | |
| Authors |
Faith A A Kwa, Denise E Jackson |
| Abstract |
The haemostatic system is tightly regulated to maintain homeostasis to avoid unwanted bleeding or thrombotic complications. Recent research has highlighted the importance of epigenetic changes, such as DNA methylation, histone modifications, and miRNA-based mechanisms, that alter gene expression. This can give rise to dysregulated haemostatic or vascular expressed molecules contributing to the development of thrombotic complications. Targeting these epigenetic changes could provide a new avenue for the treatment of pathological blood clots. However, the lack of tissue specificity warrants high-resolution genomic studies of the transcriptome and methylome that will reveal explicit epigenetic targets for the design of superior drugs with minimum off-target effects. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 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 | 6 | 18% |
| Student > Master | 4 | 12% |
| Researcher | 4 | 12% |
| Student > Bachelor | 4 | 12% |
| Other | 3 | 9% |
| Other | 2 | 6% |
| Unknown | 10 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 30% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Immunology and Microbiology | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Computer Science | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 11 | 33% |
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 14 January 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Drug Discovery Today
#2,508
of 2,885 outputs
Outputs of similar age
#344,794
of 450,867 outputs
Outputs of similar age from Drug Discovery Today
#28
of 36 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,885 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 6th percentile – i.e., 6% 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 450,867 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.