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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deficiency in interleukin-18 promotes differentiation of brown adipose tissue resulting in fat accumulation despite dyslipidemia
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2018
|
| DOI | 10.1186/s12967-018-1684-3 |
| Pubmed ID | |
| Authors |
Kyosuke Yamanishi, Seishi Maeda, Sachi Kuwahara-Otani, Takuya Hashimoto, Kaoru Ikubo, Keiichiro Mukai, Keiji Nakasho, Naomi Gamachi, Yosif El-Darawish, Wen Li, Daisuke Okuzaki, Yuko Watanabe, Hiromichi Yamanishi, Haruki Okamura, Hisato Matsunaga |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 > Master | 8 | 28% |
| Researcher | 5 | 17% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 7 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 34% |
| Biochemistry, Genetics and Molecular Biology | 4 | 14% |
| Immunology and Microbiology | 3 | 10% |
| Agricultural and Biological Sciences | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 November 2018.
All research outputs
#20,542,814
of 23,114,117 outputs
Outputs from Journal of Translational Medicine
#3,363
of 4,060 outputs
Outputs of similar age
#373,129
of 437,505 outputs
Outputs of similar age from Journal of Translational Medicine
#62
of 107 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 1st percentile – i.e., 1% 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 437,505 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.