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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Powerful and robust non-parametric association testing for microbiome data via a zero-inflated quantile approach (ZINQ)
|
|---|---|
| Published in |
Microbiome, September 2021
|
| DOI | 10.1186/s40168-021-01129-3 |
| Pubmed ID | |
| Authors |
Wodan Ling, Ni Zhao, Anna M. Plantinga, Lenore J. Launer, Anthony A. Fodor, Katie A. Meyer, Michael C. Wu |
X Demographics
The data shown below were collected from the profiles of 6 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 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 83% |
| Members of the public | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Researcher | 4 | 13% |
| Student > Master | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Unspecified | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 11 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 6 | 20% |
| Agricultural and Biological Sciences | 4 | 13% |
| Environmental Science | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 12 | 40% |
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 08 September 2021.
All research outputs
#2,687,376
of 22,709,015 outputs
Outputs from Microbiome
#1,006
of 1,424 outputs
Outputs of similar age
#63,095
of 425,973 outputs
Outputs of similar age from Microbiome
#36
of 48 outputs
Altmetric has tracked 22,709,015 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 1,424 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.1. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 425,973 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 85% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.