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A drug screening to identify novel combinatorial strategies for boosting cancer immunotherapy efficacy

Overview of attention for article published in Journal of Translational Medicine, January 2023
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1 X user

Readers on

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12 Mendeley
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Title
A drug screening to identify novel combinatorial strategies for boosting cancer immunotherapy efficacy
Published in
Journal of Translational Medicine, January 2023
DOI 10.1186/s12967-023-03875-4
Pubmed ID
Authors

Zongliang Zhang, Guoqing Wang, Kunhong Zhong, Yongdong Chen, Nian Yang, Qizhong Lu, Boyang Yuan, Zeng Wang, Hexian Li, Liping Guo, Ruyuan Zhang, Zhiguo Wu, Meijun Zheng, Shasha Zhao, Xin Tang, Bin Shao, Aiping Tong

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 1 8%
Student > Postgraduate 1 8%
Student > Master 1 8%
Unknown 6 50%
Readers by discipline Count As %
Medicine and Dentistry 3 25%
Chemistry 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Unknown 6 50%
Attention Score in Context

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 January 2023.
All research outputs
#20,925,547
of 23,556,846 outputs
Outputs from Journal of Translational Medicine
#3,481
of 4,177 outputs
Outputs of similar age
#344,594
of 435,370 outputs
Outputs of similar age from Journal of Translational Medicine
#122
of 152 outputs
Altmetric has tracked 23,556,846 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 4,177 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 435,370 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 152 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.