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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OmicsARules: a R package for integration of multi-omics datasets via association rules mining
|
|---|---|
| Published in |
BMC Bioinformatics, November 2019
|
| DOI | 10.1186/s12859-019-3171-0 |
| Pubmed ID | |
| Authors |
Danze Chen, Fan Zhang, Qianqian Zhao, Jianzhen Xu |
X Demographics
The data shown below were collected from the profiles of 47 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 | 10 | 21% |
| Canada | 4 | 9% |
| Spain | 4 | 9% |
| United Kingdom | 2 | 4% |
| Germany | 2 | 4% |
| Ecuador | 1 | 2% |
| Netherlands | 1 | 2% |
| Mexico | 1 | 2% |
| France | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 15 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 26 | 55% |
| Members of the public | 21 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 27% |
| Researcher | 8 | 18% |
| Student > Bachelor | 4 | 9% |
| Student > Master | 3 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 12 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 22% |
| Agricultural and Biological Sciences | 8 | 18% |
| Medicine and Dentistry | 4 | 9% |
| Computer Science | 3 | 7% |
| Engineering | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 15 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 16 January 2020.
All research outputs
#1,607,288
of 25,736,439 outputs
Outputs from BMC Bioinformatics
#246
of 7,739 outputs
Outputs of similar age
#34,782
of 383,157 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 171 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,739 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 96% 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 383,157 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.