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Analysis of the Airway Microbiota of Healthy Individuals and Patients with Chronic Obstructive Pulmonary Disease by T-RFLP and Clone Sequencing

Overview of attention for article published in PLOS ONE, July 2013
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2 X users

Citations

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88 Dimensions

Readers on

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134 Mendeley
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Title
Analysis of the Airway Microbiota of Healthy Individuals and Patients with Chronic Obstructive Pulmonary Disease by T-RFLP and Clone Sequencing
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0068302
Pubmed ID
Authors

Tetyana Zakharkina, Elke Heinzel, Rembert A. Koczulla, Timm Greulich, Katharina Rentz, Josch K. Pauling, Jan Baumbach, Mathias Herrmann, Christiane Grünewald, Hendrik Dienemann, Lutz von Müller, Robert Bals

Abstract

Chronic obstructive pulmonary disease (COPD) is a progressive, inflammatory lung disease that affects a large number of patients and has significant impact. One hallmark of the disease is the presence of bacteria in the lower airways.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 1%
Netherlands 2 1%
Germany 1 <1%
Korea, Republic of 1 <1%
United States 1 <1%
Unknown 127 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 22%
Researcher 25 19%
Student > Master 17 13%
Student > Bachelor 16 12%
Student > Doctoral Student 10 7%
Other 16 12%
Unknown 21 16%
Readers by discipline Count As %
Medicine and Dentistry 32 24%
Agricultural and Biological Sciences 25 19%
Biochemistry, Genetics and Molecular Biology 21 16%
Immunology and Microbiology 18 13%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Other 7 5%
Unknown 26 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 July 2013.
All research outputs
#14,755,210
of 22,713,403 outputs
Outputs from PLOS ONE
#123,227
of 193,923 outputs
Outputs of similar age
#115,618
of 194,246 outputs
Outputs of similar age from PLOS ONE
#2,868
of 4,753 outputs
Altmetric has tracked 22,713,403 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 32nd percentile – i.e., 32% 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 194,246 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,753 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.