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The combination of CXCL9, CXCL10 and CXCL11 levels during primary HIV infection predicts HIV disease progression

Overview of attention for article published in Journal of Translational Medicine, December 2019
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Mentioned by

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2 X users

Citations

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29 Dimensions

Readers on

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36 Mendeley
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Title
The combination of CXCL9, CXCL10 and CXCL11 levels during primary HIV infection predicts HIV disease progression
Published in
Journal of Translational Medicine, December 2019
DOI 10.1186/s12967-019-02172-3
Pubmed ID
Authors

Xiaowan Yin, Zhuo Wang, Tong Wu, Meichen Ma, Zining Zhang, Zhenxing Chu, Qinghai Hu, Haibo Ding, Xiaoxu Han, Junjie Xu, Hong Shang, Yongjun Jiang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 14%
Student > Bachelor 4 11%
Student > Master 4 11%
Student > Doctoral Student 3 8%
Student > Ph. D. Student 3 8%
Other 5 14%
Unknown 12 33%
Readers by discipline Count As %
Medicine and Dentistry 8 22%
Biochemistry, Genetics and Molecular Biology 4 11%
Agricultural and Biological Sciences 2 6%
Immunology and Microbiology 2 6%
Mathematics 1 3%
Other 5 14%
Unknown 14 39%
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 06 April 2023.
All research outputs
#18,980,014
of 23,532,144 outputs
Outputs from Journal of Translational Medicine
#3,078
of 4,174 outputs
Outputs of similar age
#339,777
of 461,795 outputs
Outputs of similar age from Journal of Translational Medicine
#53
of 80 outputs
Altmetric has tracked 23,532,144 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,174 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 16th percentile – i.e., 16% 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 461,795 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.