| Title |
Striped UniFrac: enabling microbiome analysis at unprecedented scale
|
|---|---|
| Published in |
Nature Methods, October 2018
|
| DOI | 10.1038/s41592-018-0187-8 |
| Pubmed ID | |
| Authors |
Daniel McDonald, Yoshiki Vázquez-Baeza, David Koslicki, Jason McClelland, Nicolai Reeve, Zhenjiang Xu, Antonio Gonzalez, Rob Knight |
X Demographics
The data shown below were collected from the profiles of 47 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 | 17 | 36% |
| Australia | 4 | 9% |
| United Kingdom | 4 | 9% |
| Netherlands | 2 | 4% |
| Japan | 1 | 2% |
| Finland | 1 | 2% |
| Uruguay | 1 | 2% |
| Ireland | 1 | 2% |
| Vietnam | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 15 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 23 | 49% |
| Members of the public | 22 | 47% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 121 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 22% |
| Student > Ph. D. Student | 26 | 21% |
| Researcher | 20 | 17% |
| Student > Bachelor | 6 | 5% |
| Professor | 5 | 4% |
| Other | 15 | 12% |
| Unknown | 22 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 35% |
| Biochemistry, Genetics and Molecular Biology | 17 | 14% |
| Immunology and Microbiology | 7 | 6% |
| Environmental Science | 6 | 5% |
| Engineering | 5 | 4% |
| Other | 15 | 12% |
| Unknown | 29 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 12 April 2021.
All research outputs
#835,264
of 25,837,817 outputs
Outputs from Nature Methods
#1,083
of 5,401 outputs
Outputs of similar age
#18,052
of 367,255 outputs
Outputs of similar age from Nature Methods
#24
of 100 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one has done well, scoring higher than 79% 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 367,255 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.