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Genetic diversity of Mycobacterium tuberculosis isolates from Beijing, China assessed by Spoligotyping, LSPs and VNTR profiles

Overview of attention for article published in BMC Infectious Diseases, December 2012
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1 tweeter

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Title
Genetic diversity of Mycobacterium tuberculosis isolates from Beijing, China assessed by Spoligotyping, LSPs and VNTR profiles
Published in
BMC Infectious Diseases, December 2012
DOI 10.1186/1471-2334-12-372
Pubmed ID
Authors

Bing Lu, Ping Zhao, Binbin Liu, Haiyan Dong, Qin Yu, Xiuqin Zhao, Kanglin Wan

Abstract

Tuberculosis is one of the most infectious diseases in the world. Molecular typing methods such as spoligotyping, and VNTR (variable number tandem repeats), IS6110 in the NTF region and LSP (large sequence polymorphisms) analysis are generally useful tools for the resolution of various issues related to the classical epidemiology of Mycobacterium tuberculosis (M. tuberculosis).

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

Geographical breakdown

Country Count As %
Zimbabwe 1 3%
Mexico 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 28%
Student > Master 9 25%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 8%
Student > Doctoral Student 3 8%
Other 7 19%
Readers by discipline Count As %
Medicine and Dentistry 12 33%
Agricultural and Biological Sciences 12 33%
Biochemistry, Genetics and Molecular Biology 6 17%
Unspecified 3 8%
Immunology and Microbiology 2 6%
Other 1 3%

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 23 December 2012.
All research outputs
#3,555,454
of 5,036,908 outputs
Outputs from BMC Infectious Diseases
#1,954
of 2,669 outputs
Outputs of similar age
#189,838
of 287,059 outputs
Outputs of similar age from BMC Infectious Diseases
#149
of 210 outputs
Altmetric has tracked 5,036,908 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,669 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 8th percentile – i.e., 8% 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 287,059 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.