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X Demographics
Mendeley readers
Attention Score in Context
Title |
Epi-GTBN: an approach of epistasis mining based on genetic Tabu algorithm and Bayesian network
|
---|---|
Published in |
BMC Bioinformatics, August 2019
|
DOI | 10.1186/s12859-019-3022-z |
Pubmed ID | |
Authors |
Yang Guo, Zhiman Zhong, Chen Yang, Jiangfeng Hu, Yaling Jiang, Zizhen Liang, Hui Gao, Jianxiao Liu |
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% |
Canada | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 1 | 25% |
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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 15% |
Student > Master | 2 | 10% |
Student > Bachelor | 1 | 5% |
Librarian | 1 | 5% |
Researcher | 1 | 5% |
Other | 1 | 5% |
Unknown | 11 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 10% |
Arts and Humanities | 1 | 5% |
Agricultural and Biological Sciences | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Other | 1 | 5% |
Unknown | 13 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 02 November 2019.
All research outputs
#3,321,940
of 23,154,520 outputs
Outputs from BMC Bioinformatics
#1,214
of 7,341 outputs
Outputs of similar age
#69,321
of 340,585 outputs
Outputs of similar age from BMC Bioinformatics
#29
of 97 outputs
Altmetric has tracked 23,154,520 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,341 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 83% 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 340,585 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 79% of its contemporaries.
We're also able to compare this research output to 97 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 70% of its contemporaries.