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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Supervised, semi-supervised and unsupervised inference of gene regulatory networks
|
|---|---|
| Published in |
Briefings in Bioinformatics, May 2013
|
| DOI | 10.1093/bib/bbt034 |
| Pubmed ID | |
| Authors |
Stefan R Maetschke, Piyush B Madhamshettiwar, Melissa J Davis, Mark A Ragan |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 1% |
| Germany | 2 | <1% |
| United States | 2 | <1% |
| Brazil | 2 | <1% |
| China | 2 | <1% |
| Australia | 1 | <1% |
| India | 1 | <1% |
| Ukraine | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 241 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 72 | 28% |
| Researcher | 56 | 22% |
| Student > Master | 29 | 11% |
| Student > Bachelor | 22 | 9% |
| Student > Doctoral Student | 12 | 5% |
| Other | 33 | 13% |
| Unknown | 34 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 79 | 31% |
| Computer Science | 58 | 22% |
| Biochemistry, Genetics and Molecular Biology | 46 | 18% |
| Engineering | 13 | 5% |
| Mathematics | 6 | 2% |
| Other | 18 | 7% |
| Unknown | 38 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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
#3,427,191
of 26,017,215 outputs
Outputs from Briefings in Bioinformatics
#489
of 2,954 outputs
Outputs of similar age
#28,426
of 212,573 outputs
Outputs of similar age from Briefings in Bioinformatics
#8
of 29 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,954 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 83% 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 212,573 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 85% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.