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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Review and Tutorial of Machine Learning Methods for Microbiome Host Trait Prediction
|
|---|---|
| Published in |
Frontiers in Genetics, June 2019
|
| DOI | 10.3389/fgene.2019.00579 |
| Pubmed ID | |
| Authors |
Yi-Hui Zhou, Paul Gallins |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 7% |
| Indonesia | 1 | 4% |
| France | 1 | 4% |
| Brazil | 1 | 4% |
| Peru | 1 | 4% |
| Finland | 1 | 4% |
| Colombia | 1 | 4% |
| Unknown | 20 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 86% |
| Scientists | 3 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 438 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 438 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 74 | 17% |
| Researcher | 74 | 17% |
| Student > Master | 59 | 13% |
| Student > Bachelor | 41 | 9% |
| Student > Doctoral Student | 23 | 5% |
| Other | 62 | 14% |
| Unknown | 105 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 80 | 18% |
| Biochemistry, Genetics and Molecular Biology | 78 | 18% |
| Computer Science | 38 | 9% |
| Immunology and Microbiology | 24 | 5% |
| Medicine and Dentistry | 14 | 3% |
| Other | 76 | 17% |
| Unknown | 128 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 02 December 2021.
All research outputs
#1,942,002
of 25,473,687 outputs
Outputs from Frontiers in Genetics
#407
of 13,728 outputs
Outputs of similar age
#40,897
of 366,575 outputs
Outputs of similar age from Frontiers in Genetics
#20
of 243 outputs
Altmetric has tracked 25,473,687 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,728 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 97% 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 366,575 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 88% of its contemporaries.
We're also able to compare this research output to 243 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 92% of its contemporaries.