You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
ELMER v.2: an R/Bioconductor package to reconstruct gene regulatory networks from DNA methylation and transcriptome profiles
|
|---|---|
| Published in |
Bioinformatics, October 2018
|
| DOI | 10.1093/bioinformatics/bty902 |
| Pubmed ID | |
| Authors |
Tiago C Silva, Simon G Coetzee, Nicole Gull, Lijing Yao, Dennis J Hazelett, Houtan Noushmehr, De-Chen Lin, Benjamin P Berman |
X Demographics
The data shown below were collected from the profiles of 21 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 | 5 | 24% |
| India | 2 | 10% |
| Israel | 2 | 10% |
| France | 1 | 5% |
| Brazil | 1 | 5% |
| Australia | 1 | 5% |
| Switzerland | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 7 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 15 | 71% |
| Members of the public | 5 | 24% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 120 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 22% |
| Researcher | 21 | 18% |
| Student > Master | 9 | 8% |
| Student > Doctoral Student | 8 | 7% |
| Other | 7 | 6% |
| Other | 21 | 18% |
| Unknown | 28 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 44 | 37% |
| Agricultural and Biological Sciences | 11 | 9% |
| Computer Science | 9 | 8% |
| Medicine and Dentistry | 7 | 6% |
| Engineering | 3 | 3% |
| Other | 11 | 9% |
| Unknown | 35 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 20 February 2019.
All research outputs
#2,620,850
of 24,093,053 outputs
Outputs from Bioinformatics
#2,103
of 12,013 outputs
Outputs of similar age
#55,220
of 353,731 outputs
Outputs of similar age from Bioinformatics
#33
of 215 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,013 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 82% 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 353,731 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 84% of its contemporaries.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.