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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Laughter up-regulates the genes related to NK cell activity in diabetes
|
|---|---|
| Published in |
Biomedical Research (0970-938X), January 2007
|
| DOI | 10.2220/biomedres.28.281 |
| Pubmed ID | |
| Authors |
Takashi Hayashi, Satoru Tsujii, Tadao Iburi, Tamiko Tamanaha, Keiko Yamagami, Rieko Ishibashi, Miyo Hori, Shigeko Sakamoto, Hitoshi Ishii, Kazuo Murakami |
| Abstract |
To elucidate the sustainable effects of laughter on gene expression, we recruited type 2 diabetic patients who were in-patient for receiving self-management education and examined time-dependent regulation for gene expression by laughter. Two-day experiment was performed. On one day, the patients watched comic video and laughed together with hospital staffs. On the other day, they participated in an inpatient diabetes educational program. Blood samples were collected before and 1.5, 4 h after watching comic video or spending lecture time, and changes in gene expression were comprehensively analyzed by microarray technique. Of the 41,000 genes analyzed, the laughter relatively up-regulated 39 genes, among which, 27 genes were relatively increased in the expression for all the observation period after watching comic video. By functional classification of these genes, 14 genes were found to be related to natural killer cell activity. No genes were included that are directly involved in blood glucose regulation, though successive suppression of postprandial blood glucose levels was observed. These results suggest that the laughter influences the expression of many genes classified into immune responses, and may contribute to amelioration of postprandial blood glucose elevation through a modulation of NK cell activity caused by up-regulation of relating genes. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 1 | 20% |
| Canada | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Colombia | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 54 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 23% |
| Researcher | 11 | 19% |
| Professor > Associate Professor | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 23% |
| Nursing and Health Professions | 6 | 11% |
| Agricultural and Biological Sciences | 6 | 11% |
| Psychology | 5 | 9% |
| Social Sciences | 3 | 5% |
| Other | 10 | 18% |
| Unknown | 14 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 19 March 2023.
All research outputs
#4,788,678
of 25,374,917 outputs
Outputs from Biomedical Research (0970-938X)
#36
of 313 outputs
Outputs of similar age
#20,159
of 168,348 outputs
Outputs of similar age from Biomedical Research (0970-938X)
#7
of 12 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 313 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 88% 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 168,348 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 88% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.