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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Distance-Based Kernel Association Test Based on the Generalized Linear Mixed Model for Correlated Microbiome Studies
|
|---|---|
| Published in |
Frontiers in Genetics, May 2019
|
| DOI | 10.3389/fgene.2019.00458 |
| Pubmed ID | |
| Authors |
Hyunwook Koh, Yutong Li, Xiang Zhan, Jun Chen, Ni Zhao |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Switzerland | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 23% |
| Researcher | 9 | 19% |
| Student > Master | 7 | 15% |
| Student > Doctoral Student | 6 | 13% |
| Professor | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 10 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 19% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Immunology and Microbiology | 3 | 6% |
| Computer Science | 3 | 6% |
| Mathematics | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 16 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 June 2019.
All research outputs
#14,325,263
of 24,938,276 outputs
Outputs from Frontiers in Genetics
#3,069
of 13,423 outputs
Outputs of similar age
#172,486
of 357,591 outputs
Outputs of similar age from Frontiers in Genetics
#116
of 292 outputs
Altmetric has tracked 24,938,276 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,423 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 75% 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 357,591 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 292 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.