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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A systematic review and meta-analysis of acupuncture for improving learning and memory ability in animals
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, August 2016
|
| DOI | 10.1186/s12906-016-1298-3 |
| Pubmed ID | |
| Authors |
Kai-Yu Huang, Shuang Liang, Mei-Ling Yu, Shu-Ping Fu, Xia Chen, Sheng-Feng Lu |
| Abstract |
Memory loss is the most prominent symptoms of brain aging, but there is currently no evidence-based treatment strategy. Acupuncture has been widely used in China and the effectiveness for improving learning and memory has been mentioned in previous studies. We conducted this systematic review and meta-analysis to evaluate the effectiveness of acupuncture for improving learning and memory in animal experiments. We searched Pubmed, Embase, Ovid Medline(R), the China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP) and Wanfang data Information Site to collect studies published up to December 2015. Study quality for each included article was evaluated according to the CAMARADES 10-item checklist. Outcome measure is Morris water maze. A meta-analysis was conducted according to the Cochrane systematic review method by using RevMan 5.3 software. Forty-two studies involving 944 animals were included. The quality score of the studies ranged from 2 to 8, with a mean of 5.3. Meta-analysis results showed that 24 studies reported significant effect of acupuncture for decreasing escape latency (-3.00, 95 % CI: -3.78 ~ -2.23, P < 0.00001), 14 studies reported significant effect of acupuncture for increasing frequency of cross platform (2.57, 95 % CI: 1.92 ~ 3.22, P < 0.00001), and 7 studies reported significant effect of acupuncture for increasing time in target quadrant (2.00, 95 % CI: 1.10 ~ 2.91, P < 0.00001) compared with the control group. These findings show acupuncture has a potential role in improving learning and memory ability in animal models, suggesting it as a candidate therapy for memory loss of aged brain. |
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 | 2 | 67% |
| Australia | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 3 | 10% |
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 2 | 7% |
| Student > Doctoral Student | 1 | 3% |
| Other | 7 | 24% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 24% |
| Psychology | 5 | 17% |
| Agricultural and Biological Sciences | 2 | 7% |
| Nursing and Health Professions | 2 | 7% |
| Unspecified | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 10 | 34% |
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 25 August 2016.
All research outputs
#14,858,374
of 22,883,326 outputs
Outputs from BMC Complementary Medicine and Therapies
#1,846
of 3,637 outputs
Outputs of similar age
#208,922
of 343,547 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#58
of 123 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,637 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 43rd percentile – i.e., 43% 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 343,547 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.