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X Demographics
Mendeley readers
Attention Score in Context
Title |
A semi-automated protocol for Archaea DNA extraction from stools
|
---|---|
Published in |
BMC Research Notes, May 2013
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DOI | 10.1186/1756-0500-6-186 |
Pubmed ID | |
Authors |
Saber Khelaifia, Pierre-Yves Ramonet, Marielle Bedotto Buffet, Michel Drancourt |
Abstract |
The PCR-based detection of archaea DNA in human specimens relies on efficient DNA extraction. We previously designed one such protocol involving only manual steps. In an effort to reduce the workload involved, we compared this manual protocol to semi-automated and automated protocols for archaea DNA extraction from human specimens. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 4% |
Unknown | 24 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 20% |
Student > Master | 4 | 16% |
Researcher | 3 | 12% |
Student > Bachelor | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Other | 3 | 12% |
Unknown | 6 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 8 | 32% |
Immunology and Microbiology | 3 | 12% |
Biochemistry, Genetics and Molecular Biology | 2 | 8% |
Nursing and Health Professions | 1 | 4% |
Chemical Engineering | 1 | 4% |
Other | 3 | 12% |
Unknown | 7 | 28% |
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 08 May 2013.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Research Notes
#2,884
of 4,300 outputs
Outputs of similar age
#141,234
of 195,469 outputs
Outputs of similar age from BMC Research Notes
#50
of 63 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 28th percentile – i.e., 28% 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 195,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.