You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Shikonin and 4-hydroxytamoxifen synergistically inhibit the proliferation of breast cancer cells through activating apoptosis signaling pathway in vitro and in vivo
|
|---|---|
| Published in |
Chinese Medicine, March 2020
|
| DOI | 10.1186/s13020-020-00305-1 |
| Pubmed ID | |
| Authors |
Hong-Yan Lin, Hong-Wei Han, Yin-Song Wang, De-Liu He, Wen-Xue Sun, Lu Feng, Zhong-Ling Wen, Min-Kai Yang, Gui-Hua Lu, Xiao-Ming Wang, Jin-Liang Qi, Yong-Hua Yang |
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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 22% |
| Student > Master | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 10 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 13% |
| Chemical Engineering | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 11 | 48% |
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 17 March 2020.
All research outputs
#22,771,990
of 25,387,668 outputs
Outputs from Chinese Medicine
#517
of 660 outputs
Outputs of similar age
#333,997
of 388,105 outputs
Outputs of similar age from Chinese Medicine
#10
of 11 outputs
Altmetric has tracked 25,387,668 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 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 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 388,105 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 11 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.