↓ Skip to main content

From rough to precise: PD-L1 evaluation for predicting the efficacy of PD-1/PD-L1 blockades

Overview of attention for article published in Frontiers in immunology, August 2022
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
44 Mendeley
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.
Title
From rough to precise: PD-L1 evaluation for predicting the efficacy of PD-1/PD-L1 blockades
Published in
Frontiers in immunology, August 2022
DOI 10.3389/fimmu.2022.920021
Pubmed ID
Authors

Xuan Zhao, Yulin Bao, Bi Meng, Zijian Xu, Sijin Li, Xu Wang, Rui Hou, Wen Ma, Dan Liu, Junnian Zheng, Ming Shi

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 11%
Researcher 4 9%
Student > Master 4 9%
Student > Ph. D. Student 2 5%
Student > Postgraduate 2 5%
Other 5 11%
Unknown 22 50%
Readers by discipline Count As %
Medicine and Dentistry 8 18%
Biochemistry, Genetics and Molecular Biology 5 11%
Chemistry 3 7%
Nursing and Health Professions 2 5%
Engineering 2 5%
Other 3 7%
Unknown 21 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 August 2022.
All research outputs
#15,550,070
of 26,322,284 outputs
Outputs from Frontiers in immunology
#13,854
of 32,949 outputs
Outputs of similar age
#190,045
of 438,382 outputs
Outputs of similar age from Frontiers in immunology
#758
of 2,075 outputs
Altmetric has tracked 26,322,284 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,949 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 55% 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 438,382 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 55% of its contemporaries.
We're also able to compare this research output to 2,075 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 60% of its contemporaries.