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Epidemiology of pulmonary disease due to nontuberculous mycobacteria in Southern China, 2013–2016

Overview of attention for article published in BMC Pulmonary Medicine, November 2018
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Mentioned by

twitter
1 tweeter

Citations

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34 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Epidemiology of pulmonary disease due to nontuberculous mycobacteria in Southern China, 2013–2016
Published in
BMC Pulmonary Medicine, November 2018
DOI 10.1186/s12890-018-0728-z
Pubmed ID
Authors

Yaoju Tan, Biyi Su, Wei Shu, Xingshan Cai, Shaojia Kuang, Haobin Kuang, Jianxiong Liu, Yu Pang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 17%
Student > Ph. D. Student 8 15%
Student > Postgraduate 5 9%
Student > Master 5 9%
Researcher 4 8%
Other 12 23%
Unknown 10 19%
Readers by discipline Count As %
Medicine and Dentistry 17 32%
Immunology and Microbiology 5 9%
Biochemistry, Genetics and Molecular Biology 5 9%
Nursing and Health Professions 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 6 11%
Unknown 13 25%

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 11 November 2018.
All research outputs
#14,033,798
of 15,915,110 outputs
Outputs from BMC Pulmonary Medicine
#1,050
of 1,301 outputs
Outputs of similar age
#271,145
of 325,692 outputs
Outputs of similar age from BMC Pulmonary Medicine
#146
of 205 outputs
Altmetric has tracked 15,915,110 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,301 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 325,692 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.