| Title |
Tea Consumption and Risk of Type 2 Diabetes: A Meta-Analysis of Cohort Studies
|
|---|---|
| Published in |
Journal of General Internal Medicine, March 2009
|
| DOI | 10.1007/s11606-009-0929-5 |
| Pubmed ID | |
| Authors |
Yali Jing, Guanjun Han, Yun Hu, Yan Bi, Lirong Li, Dalong Zhu |
| Abstract |
Tea consumption has been extensively studied in relation to various diseases, several epidemiologic studies have been performed to investigate the association of tea consumption with type 2 diabetes; however, the results of these studies were not entirely consistent. |
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 % |
|---|---|---|
| Japan | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| Netherlands | 1 | 1% |
| Kenya | 1 | 1% |
| Ghana | 1 | 1% |
| Brazil | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 84 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 21% |
| Student > Master | 14 | 15% |
| Student > Bachelor | 13 | 14% |
| Researcher | 11 | 12% |
| Student > Doctoral Student | 4 | 4% |
| Other | 9 | 10% |
| Unknown | 22 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 23% |
| Agricultural and Biological Sciences | 19 | 21% |
| Biochemistry, Genetics and Molecular Biology | 9 | 10% |
| Nursing and Health Professions | 6 | 7% |
| Chemistry | 2 | 2% |
| Other | 11 | 12% |
| Unknown | 24 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 59. 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 02 January 2024.
All research outputs
#710,538
of 25,168,110 outputs
Outputs from Journal of General Internal Medicine
#566
of 8,116 outputs
Outputs of similar age
#1,575
of 103,051 outputs
Outputs of similar age from Journal of General Internal Medicine
#4
of 38 outputs
Altmetric has tracked 25,168,110 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,116 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one has done particularly well, scoring higher than 93% 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 103,051 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.