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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A distance based multisample test for high-dimensional compositional data with applications to the human microbiome
|
|---|---|
| Published in |
BMC Bioinformatics, December 2020
|
| DOI | 10.1186/s12859-020-3530-x |
| Pubmed ID | |
| Authors |
Qingyang Zhang, Thy Dao |
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 States | 1 | 25% |
| Mexico | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 25% |
| Researcher | 2 | 17% |
| Student > Doctoral Student | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Computer Science | 2 | 17% |
| Agricultural and Biological Sciences | 1 | 8% |
| Veterinary Science and Veterinary Medicine | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 4 | 33% |
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 07 December 2020.
All research outputs
#13,866,700
of 23,498,099 outputs
Outputs from BMC Bioinformatics
#4,286
of 7,400 outputs
Outputs of similar age
#246,197
of 510,407 outputs
Outputs of similar age from BMC Bioinformatics
#90
of 160 outputs
Altmetric has tracked 23,498,099 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 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 38th percentile – i.e., 38% 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 510,407 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.