| Title |
Assessment of weighted topological overlap (wTO) to improve fidelity of gene co-expression networks
|
|---|---|
| Published in |
BMC Bioinformatics, January 2019
|
| DOI | 10.1186/s12859-019-2596-9 |
| Pubmed ID | |
| Authors |
André Voigt, Eivind Almaas |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 19% |
| Researcher | 7 | 19% |
| Student > Bachelor | 5 | 14% |
| Professor | 4 | 11% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 38% |
| Agricultural and Biological Sciences | 7 | 19% |
| Computer Science | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 7 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 29 January 2019.
All research outputs
#18,665,776
of 23,125,690 outputs
Outputs from BMC Bioinformatics
#6,370
of 7,334 outputs
Outputs of similar age
#324,400
of 437,840 outputs
Outputs of similar age from BMC Bioinformatics
#169
of 200 outputs
Altmetric has tracked 23,125,690 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,334 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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 437,840 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 200 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.