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X Demographics
Mendeley readers
Attention Score in Context
| Title |
multiWGCNA: an R package for deep mining gene co-expression networks in multi-trait expression data
|
|---|---|
| Published in |
BMC Bioinformatics, March 2023
|
| DOI | 10.1186/s12859-023-05233-z |
| Pubmed ID | |
| Authors |
Dario Tommasini, Brent L. Fogel |
X Demographics
The data shown below were collected from the profiles of 85 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 | 14 | 16% |
| United Kingdom | 5 | 6% |
| Spain | 3 | 4% |
| Japan | 3 | 4% |
| Australia | 2 | 2% |
| France | 2 | 2% |
| Brazil | 2 | 2% |
| Russia | 2 | 2% |
| India | 2 | 2% |
| Other | 13 | 15% |
| Unknown | 37 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 50 | 59% |
| Scientists | 35 | 41% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Researcher | 3 | 14% |
| Student > Ph. D. Student | 2 | 9% |
| Other | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 10 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 18% |
| Agricultural and Biological Sciences | 4 | 18% |
| Chemical Engineering | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. 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 01 April 2024.
All research outputs
#946,576
of 25,843,331 outputs
Outputs from BMC Bioinformatics
#64
of 7,756 outputs
Outputs of similar age
#20,247
of 424,845 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 148 outputs
Altmetric has tracked 25,843,331 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,756 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 99% 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 424,845 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 95% of its contemporaries.
We're also able to compare this research output to 148 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 99% of its contemporaries.