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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NBC update: The addition of viral and fungal databases to the Naïve Bayes classification tool
|
|---|---|
| Published in |
BMC Research Notes, January 2012
|
| DOI | 10.1186/1756-0500-5-81 |
| Pubmed ID | |
| Authors |
Gail L Rosen, Tze Yee Lim |
| Abstract |
Classifying the fungal and viral content of a sample is an important component of analyzing microbial communities in environmental media. Therefore, a method to classify any fragment from these organisms' DNA should be implemented. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 12% |
| Mexico | 1 | 2% |
| Netherlands | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 34 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 31% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Master | 6 | 14% |
| Professor | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 43% |
| Computer Science | 8 | 19% |
| Biochemistry, Genetics and Molecular Biology | 7 | 17% |
| Environmental Science | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 6 | 14% |
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 22 February 2012.
All research outputs
#15,242,272
of 22,663,150 outputs
Outputs from BMC Research Notes
#2,308
of 4,248 outputs
Outputs of similar age
#163,517
of 247,128 outputs
Outputs of similar age from BMC Research Notes
#50
of 85 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,248 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 33rd percentile – i.e., 33% 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 247,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.