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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Small-molecule MMP2/MMP9 inhibitor SB-3CT modulates tumor immune surveillance by regulating PD-L1
|
|---|---|
| Published in |
Genome Medicine, September 2020
|
| DOI | 10.1186/s13073-020-00780-z |
| Pubmed ID | |
| Authors |
Youqiong Ye, Xinwei Kuang, Zuozhong Xie, Long Liang, Zhao Zhang, Yongchang Zhang, Fangyu Ma, Qian Gao, Ruimin Chang, Heng-Huan Lee, Shuang Zhao, Juan Su, Hui Li, Jingbo Peng, Huifang Chen, Minzhu Yin, Cong Peng, Nong Yang, Jing Wang, Jing Liu, Hong Liu, Leng Han, Xiang Chen |
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 % |
|---|---|---|
| United States | 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 19% |
| Student > Bachelor | 9 | 16% |
| Researcher | 6 | 11% |
| Student > Master | 5 | 9% |
| Student > Doctoral Student | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 17 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 21% |
| Biochemistry, Genetics and Molecular Biology | 9 | 16% |
| Chemistry | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 23 | 40% |
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 01 October 2020.
All research outputs
#20,650,407
of 23,245,494 outputs
Outputs from Genome Medicine
#1,421
of 1,453 outputs
Outputs of similar age
#352,174
of 411,461 outputs
Outputs of similar age from Genome Medicine
#20
of 23 outputs
Altmetric has tracked 23,245,494 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 1,453 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. 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 411,461 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 23 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.