| Title |
Improving network inference algorithms using resampling methods
|
|---|---|
| Published in |
BMC Bioinformatics, October 2018
|
| DOI | 10.1186/s12859-018-2402-0 |
| Pubmed ID | |
| Authors |
Sean M Colby, Ryan S McClure, Christopher C Overall, Ryan S Renslow, Jason E McDermott |
X Demographics
The data shown below were collected from the profiles of 12 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 | 4 | 33% |
| Unknown | 8 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 50% |
| Scientists | 6 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 24% |
| Student > Ph. D. Student | 7 | 21% |
| Student > Master | 5 | 15% |
| Other | 1 | 3% |
| Librarian | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 9 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 29% |
| Agricultural and Biological Sciences | 5 | 15% |
| Computer Science | 4 | 12% |
| Mathematics | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 11 | 32% |
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 19 May 2020.
All research outputs
#3,637,840
of 23,106,390 outputs
Outputs from BMC Bioinformatics
#1,312
of 7,330 outputs
Outputs of similar age
#73,034
of 346,886 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 122 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. Compared to these this one has done well and is in the 84th 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 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 346,886 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 78% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.