| Title |
Massive metagenomic data analysis using abundance-based machine learning
|
|---|---|
| Published in |
Biology Direct, August 2019
|
| DOI | 10.1186/s13062-019-0242-0 |
| Pubmed ID | |
| Authors |
Zachary N. Harris, Eliza Dhungel, Matthew Mosior, Tae-Hyuk Ahn |
X Demographics
The data shown below were collected from the profiles of 8 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 States | 4 | 50% |
| Netherlands | 1 | 13% |
| Spain | 1 | 13% |
| Italy | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 127 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 18% |
| Researcher | 20 | 16% |
| Student > Master | 17 | 13% |
| Student > Bachelor | 15 | 12% |
| Other | 6 | 5% |
| Other | 18 | 14% |
| Unknown | 28 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 35 | 28% |
| Agricultural and Biological Sciences | 22 | 17% |
| Computer Science | 11 | 9% |
| Immunology and Microbiology | 6 | 5% |
| Engineering | 4 | 3% |
| Other | 17 | 13% |
| Unknown | 32 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 07 August 2019.
All research outputs
#7,226,347
of 23,885,338 outputs
Outputs from Biology Direct
#246
of 505 outputs
Outputs of similar age
#124,051
of 349,390 outputs
Outputs of similar age from Biology Direct
#6
of 6 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 505 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 51% 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 349,390 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.