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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combing the hairball with BioFabric: a new approach for visualization of large networks
|
|---|---|
| Published in |
BMC Bioinformatics, October 2012
|
| DOI | 10.1186/1471-2105-13-275 |
| Pubmed ID | |
| Authors |
William JR Longabaugh |
| Abstract |
The analysis of large, complex networks is an important aspect of ongoing biological research. Yet there is a need for entirely new, scalable approaches for network visualization that can provide more insight into the structure and function of these complex networks. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 3 | 27% |
| Germany | 1 | 9% |
| Brazil | 1 | 9% |
| Japan | 1 | 9% |
| Canada | 1 | 9% |
| Russia | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 10% |
| Brazil | 3 | 3% |
| Sweden | 2 | 2% |
| Canada | 2 | 2% |
| Spain | 2 | 2% |
| Netherlands | 1 | <1% |
| Unknown | 84 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 44 | 42% |
| Student > Ph. D. Student | 17 | 16% |
| Student > Master | 12 | 12% |
| Professor > Associate Professor | 6 | 6% |
| Professor | 5 | 5% |
| Other | 15 | 14% |
| Unknown | 5 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 34% |
| Computer Science | 26 | 25% |
| Biochemistry, Genetics and Molecular Biology | 10 | 10% |
| Environmental Science | 4 | 4% |
| Engineering | 3 | 3% |
| Other | 16 | 15% |
| Unknown | 10 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 07 June 2023.
All research outputs
#3,003,724
of 24,832,302 outputs
Outputs from BMC Bioinformatics
#922
of 7,594 outputs
Outputs of similar age
#20,807
of 190,785 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 98 outputs
Altmetric has tracked 24,832,302 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,594 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 87% 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 190,785 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 89% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.