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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning and Deep Learning Applications in Metagenomic Taxonomy and Functional Annotation
|
|---|---|
| Published in |
Frontiers in Microbiology, March 2022
|
| DOI | 10.3389/fmicb.2022.811495 |
| Pubmed ID | |
| Authors |
Alban Mathieu, Mickael Leclercq, Melissa Sanabria, Olivier Perin, Arnaud Droit |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 2 | 18% |
| United Kingdom | 1 | 9% |
| Switzerland | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 55% |
| Members of the public | 5 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 20% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Bachelor | 3 | 7% |
| Professor | 2 | 4% |
| Lecturer | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 19 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 20% |
| Biochemistry, Genetics and Molecular Biology | 8 | 17% |
| Computer Science | 3 | 7% |
| Environmental Science | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 21 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 06 April 2022.
All research outputs
#3,044,635
of 25,802,847 outputs
Outputs from Frontiers in Microbiology
#2,445
of 29,830 outputs
Outputs of similar age
#68,611
of 452,501 outputs
Outputs of similar age from Frontiers in Microbiology
#61
of 1,349 outputs
Altmetric has tracked 25,802,847 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,830 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 91% 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 452,501 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 1,349 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.