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The discovery and identification of a candidate proteomic biomarker of active tuberculosis

Overview of attention for article published in BMC Infectious Diseases, October 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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4 X users

Citations

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42 Dimensions

Readers on

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65 Mendeley
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Title
The discovery and identification of a candidate proteomic biomarker of active tuberculosis
Published in
BMC Infectious Diseases, October 2013
DOI 10.1186/1471-2334-13-506
Pubmed ID
Authors

Jiyan Liu, Tingting Jiang, Liliang Wei, Xiuyun Yang, Chong Wang, Xing Zhang, Dandan Xu, Zhongliang Chen, Fuquan Yang, Ji-Cheng Li

Abstract

Noninvasive and convenient biomarkers for early diagnosis of tuberculosis (TB) remain an urgent need. The aim of this study was to discover and identify potential biomarkers specific for TB.

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 31%
Student > Master 7 11%
Student > Postgraduate 6 9%
Student > Ph. D. Student 6 9%
Student > Bachelor 4 6%
Other 12 18%
Unknown 10 15%
Readers by discipline Count As %
Medicine and Dentistry 15 23%
Biochemistry, Genetics and Molecular Biology 14 22%
Agricultural and Biological Sciences 11 17%
Immunology and Microbiology 4 6%
Nursing and Health Professions 3 5%
Other 7 11%
Unknown 11 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 October 2013.
All research outputs
#13,984,717
of 24,143,470 outputs
Outputs from BMC Infectious Diseases
#3,354
of 8,078 outputs
Outputs of similar age
#112,503
of 217,570 outputs
Outputs of similar age from BMC Infectious Diseases
#49
of 124 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,078 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 58% 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 217,570 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 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 61% of its contemporaries.