↓ Skip to main content

Detecting latent tuberculosis infection with a breath test using mass spectrometer: A pilot cross-sectional study

Overview of attention for article published in BioScience Trends, January 2023
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 333)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
twitter
3 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 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
Detecting latent tuberculosis infection with a breath test using mass spectrometer: A pilot cross-sectional study
Published in
BioScience Trends, January 2023
DOI 10.5582/bst.2022.01476
Pubmed ID
Authors

Liang Fu, Yong Feng, Tantan Ren, Min Yang, Qianting Yang, Yi Lin, Hui Zeng, Jiaohong Zhang, Lei Liu, Qingyun Li, Mengqi He, Peize Zhang, Haibin Chen, Guofang Deng

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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Other 1 11%
Unknown 6 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 11%
Chemistry 1 11%
Medicine and Dentistry 1 11%
Engineering 1 11%
Unknown 5 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 31 January 2023.
All research outputs
#3,116,514
of 25,392,582 outputs
Outputs from BioScience Trends
#22
of 333 outputs
Outputs of similar age
#63,194
of 474,768 outputs
Outputs of similar age from BioScience Trends
#2
of 11 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 333 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has done particularly well, scoring higher than 93% 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 474,768 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 86% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.