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Mendeley readers
Attention Score in Context
Title |
The effect of training set on the classification of honey bee gut microbiota using the Naïve Bayesian Classifier
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Published in |
BMC Microbiology, September 2012
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DOI | 10.1186/1471-2180-12-221 |
Pubmed ID | |
Authors |
Irene LG Newton, Guus Roeselers |
Abstract |
Microbial ecologists now routinely utilize next-generation sequencing methods to assess microbial diversity in the environment. One tool heavily utilized by many groups is the Naïve Bayesian Classifier developed by the Ribosomal Database Project (RDP-NBC). However, the consistency and confidence of classifications provided by the RDP-NBC is dependent on the training set utilized. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 25% |
Cameroon | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Scientists | 1 | 25% |
Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 3% |
France | 1 | <1% |
Sweden | 1 | <1% |
Germany | 1 | <1% |
Canada | 1 | <1% |
United Kingdom | 1 | <1% |
Japan | 1 | <1% |
Mexico | 1 | <1% |
Unknown | 119 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 36 | 28% |
Student > Ph. D. Student | 33 | 25% |
Student > Master | 17 | 13% |
Student > Doctoral Student | 8 | 6% |
Student > Bachelor | 7 | 5% |
Other | 20 | 15% |
Unknown | 9 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 70 | 54% |
Biochemistry, Genetics and Molecular Biology | 15 | 12% |
Immunology and Microbiology | 7 | 5% |
Environmental Science | 4 | 3% |
Engineering | 3 | 2% |
Other | 12 | 9% |
Unknown | 19 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 03 October 2012.
All research outputs
#15,092,197
of 25,374,917 outputs
Outputs from BMC Microbiology
#1,361
of 3,489 outputs
Outputs of similar age
#110,268
of 190,797 outputs
Outputs of similar age from BMC Microbiology
#25
of 44 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,489 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 190,797 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.