| Title |
funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model
|
|---|---|
| Published in |
BMC Genomic Data, January 2019
|
| DOI | 10.1186/s12863-018-0710-z |
| Pubmed ID | |
| Authors |
Prabina Kumar Meher, Tanmaya Kumar Sahu, Shachi Gahoi, Ruchi Tomar, Atmakuri Ramakrishna Rao |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 20% |
| Researcher | 8 | 18% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 9 | 20% |
| Unknown | 7 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 27% |
| Biochemistry, Genetics and Molecular Biology | 10 | 23% |
| Computer Science | 3 | 7% |
| Business, Management and Accounting | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 13 | 30% |
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 10 January 2019.
All research outputs
#17,292,294
of 25,385,509 outputs
Outputs from BMC Genomic Data
#667
of 1,204 outputs
Outputs of similar age
#281,402
of 444,976 outputs
Outputs of similar age from BMC Genomic Data
#9
of 14 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 34th percentile – i.e., 34% 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 444,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.