Title |
Nonlinear expression and visualization of nonmetric relationships in genetic diseases and microbiome data
|
---|---|
Published in |
BMC Bioinformatics, December 2018
|
DOI | 10.1186/s12859-018-2537-z |
Pubmed ID | |
Authors |
Xianchao Zhu, Xianjun Shen, Xingpeng Jiang, Kaiping Wei, Tingting He, Yuanyuan Ma, Jiaqi Liu, Xiaohua Hu |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 22% |
Student > Doctoral Student | 2 | 9% |
Professor > Associate Professor | 2 | 9% |
Student > Ph. D. Student | 2 | 9% |
Student > Bachelor | 1 | 4% |
Other | 4 | 17% |
Unknown | 7 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 17% |
Biochemistry, Genetics and Molecular Biology | 4 | 17% |
Computer Science | 2 | 9% |
Social Sciences | 2 | 9% |
Arts and Humanities | 1 | 4% |
Other | 4 | 17% |
Unknown | 6 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 22 January 2019.
All research outputs
#3,732,198
of 23,120,280 outputs
Outputs from BMC Bioinformatics
#1,376
of 7,330 outputs
Outputs of similar age
#83,000
of 435,957 outputs
Outputs of similar age from BMC Bioinformatics
#41
of 206 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,330 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 80% 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 435,957 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 80% of its contemporaries.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.