| Title |
Testing hypotheses about the microbiome using the linear decomposition model (LDM)
|
|---|---|
| Published in |
Bioinformatics, April 2020
|
| DOI | 10.1093/bioinformatics/btaa260 |
| Pubmed ID | |
| Authors |
Yi-Juan Hu, Glen A Satten |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 21% |
| Researcher | 14 | 20% |
| Student > Master | 8 | 11% |
| Student > Doctoral Student | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Other | 9 | 13% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 29% |
| Environmental Science | 6 | 9% |
| Medicine and Dentistry | 5 | 7% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Computer Science | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 18 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 August 2021.
All research outputs
#14,239,260
of 23,938,580 outputs
Outputs from Bioinformatics
#7,753
of 10,842 outputs
Outputs of similar age
#192,476
of 377,779 outputs
Outputs of similar age from Bioinformatics
#44
of 66 outputs
Altmetric has tracked 23,938,580 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,842 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 26th percentile – i.e., 26% 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 377,779 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.