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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MetaNN: accurate classification of host phenotypes from metagenomic data using neural networks
|
|---|---|
| Published in |
BMC Bioinformatics, June 2019
|
| DOI | 10.1186/s12859-019-2833-2 |
| Pubmed ID | |
| Authors |
Chieh Lo, Radu Marculescu |
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 Kingdom | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 18% |
| Student > Ph. D. Student | 17 | 17% |
| Researcher | 16 | 16% |
| Other | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 9 | 9% |
| Unknown | 26 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 27% |
| Agricultural and Biological Sciences | 17 | 17% |
| Computer Science | 10 | 10% |
| Medicine and Dentistry | 4 | 4% |
| Immunology and Microbiology | 4 | 4% |
| Other | 8 | 8% |
| Unknown | 29 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 29 June 2019.
All research outputs
#2,163,270
of 24,885,505 outputs
Outputs from BMC Bioinformatics
#512
of 7,601 outputs
Outputs of similar age
#45,120
of 357,671 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 167 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,601 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 93% 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 357,671 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 87% of its contemporaries.
We're also able to compare this research output to 167 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 91% of its contemporaries.