You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Randomized quantile residuals for diagnosing zero-inflated generalized linear mixed models with applications to microbiome count data
|
---|---|
Published in |
BMC Bioinformatics, November 2021
|
DOI | 10.1186/s12859-021-04371-6 |
Pubmed ID | |
Authors |
Wei Bai, Mei Dong, Longhai Li, Cindy Feng, Wei Xu |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
Sweden | 1 | 20% |
United Kingdom | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 25% |
Student > Ph. D. Student | 3 | 19% |
Other | 1 | 6% |
Student > Master | 1 | 6% |
Unknown | 7 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 2 | 13% |
Veterinary Science and Veterinary Medicine | 1 | 6% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Mathematics | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Other | 1 | 6% |
Unknown | 9 | 56% |
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 30 November 2021.
All research outputs
#15,789,162
of 24,998,746 outputs
Outputs from BMC Bioinformatics
#4,946
of 7,630 outputs
Outputs of similar age
#260,671
of 515,514 outputs
Outputs of similar age from BMC Bioinformatics
#113
of 164 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,630 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 31st percentile – i.e., 31% 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 515,514 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.