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Transcriptional Profiling of Human Peripheral Blood Mononuclear Cells Identifies Diagnostic Biomarkers That Distinguish Active and Latent Tuberculosis

Overview of attention for article published in Frontiers in immunology, December 2019
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Readers on

mendeley
60 Mendeley
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Title
Transcriptional Profiling of Human Peripheral Blood Mononuclear Cells Identifies Diagnostic Biomarkers That Distinguish Active and Latent Tuberculosis
Published in
Frontiers in immunology, December 2019
DOI 10.3389/fimmu.2019.02948
Pubmed ID
Authors

Sen Wang, Lei He, Jing Wu, Zumo Zhou, Yan Gao, Jiazhen Chen, Lingyun Shao, Ying Zhang, Wenhong Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 15%
Student > Ph. D. Student 9 15%
Student > Doctoral Student 7 12%
Student > Postgraduate 6 10%
Other 4 7%
Other 9 15%
Unknown 16 27%
Readers by discipline Count As %
Immunology and Microbiology 11 18%
Biochemistry, Genetics and Molecular Biology 8 13%
Medicine and Dentistry 7 12%
Agricultural and Biological Sciences 4 7%
Nursing and Health Professions 3 5%
Other 7 12%
Unknown 20 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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
#17,032,385
of 25,806,763 outputs
Outputs from Frontiers in immunology
#18,734
of 32,415 outputs
Outputs of similar age
#289,590
of 481,725 outputs
Outputs of similar age from Frontiers in immunology
#417
of 591 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,415 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 36th percentile – i.e., 36% 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 481,725 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 591 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.