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Clonal tracing reveals diverse patterns of response to immune checkpoint blockade

Overview of attention for article published in Genome Biology, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
10 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
52 Mendeley
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Title
Clonal tracing reveals diverse patterns of response to immune checkpoint blockade
Published in
Genome Biology, October 2020
DOI 10.1186/s13059-020-02166-1
Pubmed ID
Authors

Shengqing Stan Gu, Xiaoqing Wang, Xihao Hu, Peng Jiang, Ziyi Li, Nicole Traugh, Xia Bu, Qin Tang, Chenfei Wang, Zexian Zeng, Jingxin Fu, Cliff Meyer, Yi Zhang, Paloma Cejas, Klothilda Lim, Jin Wang, Wubing Zhang, Collin Tokheim, Avinash Das Sahu, Xiaofang Xing, Benjamin Kroger, Zhangyi Ouyang, Henry Long, Gordon J. Freeman, Myles Brown, X. Shirley Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Student > Ph. D. Student 7 13%
Student > Master 5 10%
Student > Bachelor 3 6%
Professor 3 6%
Other 5 10%
Unknown 19 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 19%
Agricultural and Biological Sciences 8 15%
Medicine and Dentistry 3 6%
Immunology and Microbiology 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 10%
Unknown 23 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 11 November 2020.
All research outputs
#1,843,744
of 25,387,668 outputs
Outputs from Genome Biology
#1,537
of 4,470 outputs
Outputs of similar age
#48,538
of 435,632 outputs
Outputs of similar age from Genome Biology
#40
of 63 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 65% 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 435,632 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.