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Pleural IFN-γ release assay combined with biomarkers distinguished effectively tuberculosis from malignant pleural effusion

Overview of attention for article published in BMC Infectious Diseases, January 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

policy
1 policy source
twitter
4 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Pleural IFN-γ release assay combined with biomarkers distinguished effectively tuberculosis from malignant pleural effusion
Published in
BMC Infectious Diseases, January 2019
DOI 10.1186/s12879-018-3654-z
Pubmed ID
Authors

Yimin Tang, Juanjuan Zhang, Huarong Huang, Xing He, Jiaohong Zhang, Min Ou, Guobao Li, Changchun Zeng, Taosheng Ye, Lili Ren, Yingxia Liu, Guoliang Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Doctoral Student 4 12%
Student > Bachelor 3 9%
Student > Postgraduate 3 9%
Student > Ph. D. Student 2 6%
Other 5 15%
Unknown 9 26%
Readers by discipline Count As %
Medicine and Dentistry 14 41%
Agricultural and Biological Sciences 3 9%
Unspecified 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 13 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 December 2019.
All research outputs
#6,099,900
of 23,504,694 outputs
Outputs from BMC Infectious Diseases
#1,816
of 7,841 outputs
Outputs of similar age
#125,673
of 440,529 outputs
Outputs of similar age from BMC Infectious Diseases
#55
of 202 outputs
Altmetric has tracked 23,504,694 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,841 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 76% 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 440,529 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 71% of its contemporaries.
We're also able to compare this research output to 202 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 72% of its contemporaries.