| Title |
DNA methylation at the mu-1 opioid receptor gene (OPRM1) promoter predicts preoperative, acute, and chronic postsurgical pain after spine fusion
|
|---|---|
| Published in |
Pharmacogenomics and Personalized Medicine, May 2017
|
| DOI | 10.2147/pgpm.s132691 |
| Pubmed ID | |
| Authors |
Vidya Chidambaran, Xue Zhang, Lisa J Martin, Lili Ding, Matthew T Weirauch, Kristie Geisler, Bobbie L Stubbeman, Senthilkumar Sadhasivam, Hong Ji |
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 | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 15% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Bachelor | 6 | 10% |
| Researcher | 5 | 8% |
| Professor > Associate Professor | 4 | 7% |
| Other | 11 | 18% |
| Unknown | 18 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 21% |
| Nursing and Health Professions | 7 | 11% |
| Neuroscience | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Psychology | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 23 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 October 2023.
All research outputs
#3,341,250
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#57,023
of 325,543 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one scored the same or higher as 0 of them.
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 325,543 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them