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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association analyses of East Asian individuals and trans-ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels
|
|---|---|
| Published in |
Human Molecular Genetics, February 2017
|
| DOI | 10.1093/hmg/ddx062 |
| Pubmed ID | |
| Authors |
Cassandra N. Spracklen, Peng Chen, Young Jin Kim, Xu Wang, Hui Cai, Shengxu Li, Jirong Long, Ying Wu, Ya Xing Wang, Fumihiko Takeuchi, Jer-Yuarn Wu, Keum-Ji Jung, Cheng Hu, Koichi Akiyama, Yonghong Zhang, Sanghoon Moon, Todd A Johnson, Huaixing Li, Rajkumar Dorajoo, Meian He, Maren E Cannon, Tamara S Roman, Elias Salfati, Keng-Hung Lin, Xiuqing Guo, Wayne H H Sheu, Devin Absher, Linda S Adair, Themistocles L Assimes, Tin Aung, Qiuyin Cai, Li-Ching Chang, Chien-Hsiun Chen, Li-Hsin Chien, Lee-Ming Chuang, Shu-Chun Chuang, Shufa Du, Qiao Fan, Cathy S J Fann, Alan B Feranil, Yechiel Friedlander, Penny Gordon-Larsen, Dongfeng Gu, Lixuan Gui, Zhirong Guo, Chew-Kiat Heng, James Hixson, Xuhong Hou, Chao Agnes Hsiung, Yao Hu, Mi Yeong Hwang, Chii-Min Hwu, Masato Isono, Jyh-Ming Jimmy Juang, Chiea-Chuen Khor, Yun Kyoung Kim, Woon-Puay Koh, Michiaki Kubo, I-Te Lee, Sun-Ju Lee, Wen-Jane Lee, Kae-Woei Liang, Blanche Lim, Sing-Hui Lim, Jianjun Liu, Toru Nabika, Wen-Harn Pan, Hao Peng, Thomas Quertermous, Charumathi Sabanayagam, Kevin Sandow, Jinxiu Shi, Liang Sun, Pok Chien Tan, Shu-Pei Tan, Kent D Taylor, Yik-Ying Teo, Sue-Anne Toh, Tatsuhiko Tsunoda, Rob M van Dam, Aili Wang, Feijie Wang, Jie Wang, Wen Bin Wei, Yong-Bing Xiang, Jie Yao, Jian-Min Yuan, Rong Zhang, Wanting Zhao, Yii-Der Ida Chen, Stephen S Rich, Jerome I Rotter, Tzung-Dau Wang, Tangchun Wu, Xu Lin, Bok-Ghee Han, Toshihiro Tanaka, Yoon Shin Cho, Tomohiro Katsuya, Weiping Jia, Sun-Ha Jee, Yuan-Tsong Chen, Norihiro Kato, Jost B Jonas, Ching-Yu Cheng, Xiao-Ou Shu, Jiang He, Wei Zheng, Tien-Yin Wong, Wei Huang, Bong-Jo Kim, E-Shyong Tai, Karen L Mohlke, Xueling Sim |
X Demographics
The data shown below were collected from the profiles of 7 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 | 4 | 57% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 193 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 16% |
| Researcher | 26 | 13% |
| Student > Bachelor | 21 | 11% |
| Student > Master | 19 | 10% |
| Student > Doctoral Student | 12 | 6% |
| Other | 32 | 17% |
| Unknown | 52 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 40 | 21% |
| Medicine and Dentistry | 40 | 21% |
| Agricultural and Biological Sciences | 18 | 9% |
| Nursing and Health Professions | 8 | 4% |
| Computer Science | 4 | 2% |
| Other | 20 | 10% |
| Unknown | 63 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 April 2021.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from Human Molecular Genetics
#4,384
of 8,505 outputs
Outputs of similar age
#133,053
of 328,336 outputs
Outputs of similar age from Human Molecular Genetics
#63
of 122 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,505 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 22nd percentile – i.e., 22% 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 328,336 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.