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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Precision Higgs physics at the CEPC * *Supported by the National Key Program for S&T Researh and Development (2016YFA0400400); CAS Center for Excellence in Particle Physics; Yifang Wang’s Science Studio of the Ten Thousand Talents Project; the CAS/SAFEA International Partnership Program for Creative Research Teams (H751S018S5); IHEP Innovation Grant (Y4545170Y2); Key Research Program of Frontier Sciences, CAS (XQYZDY-SSW-SLH002); Chinese Academy of Science Special Grant for Large Scientific Project (113111KYSB20170005); the National Natural Science Foundation of China(11675202); the Hundred Talent Programs of Chinese Academy of Science (Y3515540U1); the National 1000 Talents Program of China; Fermi Research Alliance, LLC (DE-AC02-07CH11359); the NSF(PHY1620074) ; by the Maryland Center for Fundamental Physics (MCFP); Tsinghua University Initiative Scientific Research Program; and the Beijing Municipal Science and Technology Commission project(Z181100004218003)
|
|---|---|
| Published in |
Chinese Physics C, April 2019
|
| DOI | 10.1088/1674-1137/43/4/043002 |
| Authors |
Fenfen An, Yu Bai, Chunhui Chen, Xin Chen, Zhenxing Chen, Joao Guimaraes da Costa, Zhenwei Cui, Yaquan Fang, Chengdong Fu, Jun Gao, Yanyan Gao, Yuanning Gao, Shaofeng Ge, Jiayin Gu, Fangyi Guo, Jun Guo, Tao Han, Shuang Han, Hongjian He, Xianke He, Xiaogang He, Jifeng Hu, Shih-Chieh Hsu, Shan Jin, Maoqiang Jing, Susmita Jyotishmati, Kiuchi Ryuta, Chia-Ming Kuo, Peizhu Lai, Boyang Li, Congqiao Li, Gang Li, Haifeng Li, Liang Li, Shu Li, Tong Li, Qiang Li, Hao Liang, Zhijun Liang, Libo Liao, Bo Liu, Jianbei Liu, Tao Liu, Zhen Liu, Xinchou Lou, Lianliang Ma, Bruce Mellado, Xin Mo, Mila Pandurovic, Jianming Qian, Zhuoni Qian, Nikolaos Rompotis, Manqi Ruan, Alex Schuy, Lianyou Shan, Jingyuan Shi, Xin Shi, Shufang Su, Dayong Wang, Jin Wang, Liantao Wang, Yifang Wang, Yuqian Wei, Yue Xu, Haijun Yang, Ying Yang, Weiming Yao, Dan Yu, Kaili Zhang, Zhaoru Zhang, Mingrui Zhao, Xianghu Zhao, Ning Zhou |
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 % |
|---|---|---|
| Germany | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 24% |
| Student > Bachelor | 3 | 18% |
| Student > Ph. D. Student | 3 | 18% |
| Other | 2 | 12% |
| Student > Postgraduate | 2 | 12% |
| Other | 0 | 0% |
| Unknown | 3 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 10 | 59% |
| Computer Science | 1 | 6% |
| Mathematics | 1 | 6% |
| Social Sciences | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 18% |
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 05 March 2019.
All research outputs
#13,742,655
of 23,298,349 outputs
Outputs from Chinese Physics C
#121
of 1,046 outputs
Outputs of similar age
#179,010
of 352,292 outputs
Outputs of similar age from Chinese Physics C
#7
of 38 outputs
Altmetric has tracked 23,298,349 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,046 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done well, scoring higher than 87% 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 352,292 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
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 well, scoring higher than 84% of its contemporaries.