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X Demographics
Mendeley readers
Attention Score in Context
| Title |
What intrinsic factors influence responsiveness to acupuncture in pain?: a review of pre-clinical studies that used responder analysis
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, May 2017
|
| DOI | 10.1186/s12906-017-1792-2 |
| Pubmed ID | |
| Authors |
Yu-Kang Kim, Ji-Yeun Park, Seung-Nam Kim, Mijung Yeom, Seungmin Lee, Ju-Young Oh, Hyangsook Lee, Younbyoung Chae, Dae-Hyun Hahm, Hi-Joon Park |
| Abstract |
Not many studies have investigated individual sensitivity to acupuncture. To explore the intrinsic factors related to individual responses to acupuncture, we reviewed published pre-clinical studies using responder analysis on pain. We searched the PubMed and EMBASE databases to June 2015. We included pre-clinical reports describing responders and non-responders to anti-nociceptive and analgesic effects of acupuncture in animal study. We identified the potential intrinsic factors which might be related with the response to acupuncture. Totally, 216 potentially relevant articles were retrieved and 14 studies met our inclusion criteria. Rat (n = 1348) and rabbit (n = 56) were used, and only electroacupuncture (EA) was applied as an intervention. Results showed that high levels of cholecystokinin-8 and receptors were associated with poor responsiveness to EA. Endogenous opioids including β-endorphin and met-enkephalin, descending inhibitory norepinephrine and serotonin system, and hypothalamic 5'-AMP-activated protein kinase seemed to be associated with high-level responses. Spinal levels of neurotransmitters and pro-inflammatory cytokines were also differentially expressed depending on the EA sensitiveness. In the central nervous system, hypothalamus, periaqueductal grey, pituitary gland, and spinal cord were suggested to be involved in the EA responsiveness. Identified individual variations did not seem to be accidental, as the responsiveness to EA was replicated over time. However, methodological issues such as reproducibility, cut-off criteria, and clinical relevance need to be further elaborated. Our study suggests that the identification of the biological factors differentiating responders from non-responders is necessary and it may aid in understanding how acupuncture modulates pain. |
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 | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 7 | 18% |
| Researcher | 5 | 13% |
| Student > Bachelor | 5 | 13% |
| Student > Postgraduate | 4 | 10% |
| Student > Master | 4 | 10% |
| Other | 10 | 25% |
| Unknown | 5 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 43% |
| Nursing and Health Professions | 5 | 13% |
| Agricultural and Biological Sciences | 3 | 8% |
| Psychology | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 7 | 18% |
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 23 August 2017.
All research outputs
#14,066,800
of 22,977,819 outputs
Outputs from BMC Complementary Medicine and Therapies
#1,625
of 3,641 outputs
Outputs of similar age
#169,069
of 313,676 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#50
of 134 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,641 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 53% 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 313,676 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 134 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 59% of its contemporaries.