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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Naturally occurring anti-cancer compounds: shining from Chinese herbal medicine
|
|---|---|
| Published in |
Chinese Medicine, November 2019
|
| DOI | 10.1186/s13020-019-0270-9 |
| Pubmed ID | |
| Authors |
Hua Luo, Chi Teng Vong, Hanbin Chen, Yan Gao, Peng Lyu, Ling Qiu, Mingming Zhao, Qiao Liu, Zehua Cheng, Jian Zou, Peifen Yao, Caifang Gao, Jinchao Wei, Carolina Oi Lam Ung, Shengpeng Wang, Zhangfeng Zhong, Yitao Wang |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| United Kingdom | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 313 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 313 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 31 | 10% |
| Student > Ph. D. Student | 27 | 9% |
| Student > Master | 24 | 8% |
| Researcher | 20 | 6% |
| Lecturer | 12 | 4% |
| Other | 42 | 13% |
| Unknown | 157 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 10% |
| Medicine and Dentistry | 24 | 8% |
| Agricultural and Biological Sciences | 19 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 17 | 5% |
| Chemistry | 14 | 4% |
| Other | 43 | 14% |
| Unknown | 166 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 28 February 2024.
All research outputs
#2,331,992
of 25,394,764 outputs
Outputs from Chinese Medicine
#37
of 660 outputs
Outputs of similar age
#49,936
of 381,644 outputs
Outputs of similar age from Chinese Medicine
#2
of 10 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 94% 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 381,644 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 86% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.