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A New Method to Extract Dental Pulp DNA: Application to Universal Detection of Bacteria

Overview of attention for article published in PLOS ONE, October 2007
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Mentioned by

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1 Facebook page

Readers on

mendeley
72 Mendeley
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Title
A New Method to Extract Dental Pulp DNA: Application to Universal Detection of Bacteria
Published in
PLOS ONE, October 2007
DOI 10.1371/journal.pone.0001062
Pubmed ID
Authors

Lam Tran-Hung, Ny Tran-Thi, Gérard Aboudharam, Didier Raoult, Michel Drancourt

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 1%
Turkey 1 1%
Israel 1 1%
United Kingdom 1 1%
United States 1 1%
Unknown 67 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 18%
Researcher 10 14%
Student > Master 7 10%
Student > Bachelor 6 8%
Student > Postgraduate 6 8%
Other 14 19%
Unknown 16 22%
Readers by discipline Count As %
Medicine and Dentistry 19 26%
Agricultural and Biological Sciences 18 25%
Biochemistry, Genetics and Molecular Biology 3 4%
Social Sciences 3 4%
Immunology and Microbiology 2 3%
Other 6 8%
Unknown 21 29%
Attention Score in Context

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 May 2015.
All research outputs
#20,284,384
of 22,818,766 outputs
Outputs from PLOS ONE
#173,814
of 194,707 outputs
Outputs of similar age
#73,648
of 76,305 outputs
Outputs of similar age from PLOS ONE
#217
of 222 outputs
Altmetric has tracked 22,818,766 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 194,707 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. 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 76,305 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 222 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.