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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predictive biomarkers and mechanisms underlying resistance to PD1/PD-L1 blockade cancer immunotherapy
|
|---|---|
| Published in |
Molecular Cancer, January 2020
|
| DOI | 10.1186/s12943-020-1144-6 |
| Pubmed ID | |
| Authors |
Daixi Ren, Yuze Hua, Boyao Yu, Xin Ye, Ziheng He, Chunwei Li, Jie Wang, Yongzhen Mo, Xiaoxu Wei, Yunhua Chen, Yujuan Zhou, Qianjin Liao, Hui Wang, Bo Xiang, Ming Zhou, Xiaoling Li, Guiyuan Li, Yong Li, Zhaoyang Zeng, Wei Xiong |
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 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 173 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 13% |
| Student > Master | 22 | 13% |
| Student > Bachelor | 18 | 10% |
| Student > Ph. D. Student | 14 | 8% |
| Student > Doctoral Student | 11 | 6% |
| Other | 19 | 11% |
| Unknown | 66 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 39 | 23% |
| Medicine and Dentistry | 25 | 14% |
| Immunology and Microbiology | 14 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 11 | 6% |
| Chemistry | 4 | 2% |
| Other | 9 | 5% |
| Unknown | 71 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 January 2022.
All research outputs
#8,158,001
of 25,837,817 outputs
Outputs from Molecular Cancer
#678
of 1,956 outputs
Outputs of similar age
#168,985
of 478,460 outputs
Outputs of similar age from Molecular Cancer
#14
of 38 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,956 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 63% 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 478,460 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
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 gotten more attention than average, scoring higher than 63% of its contemporaries.