Report for: Combing the hairball with BioFabric: a new approach for visualization of large networks

You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.

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	23102059
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.

View on publisher site Alert me about new mentions

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters 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	25%
Germany	1	8%
Brazil	1	8%
Japan	1	8%
Canada	1	8%
Russia	1	8%
Unknown	4	33%

Demographic breakdown

Type	Count	As %
Members of the public	8	67%
Scientists	3	25%
Science communicators (journalists, bloggers, editors)	1	8%

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 13. 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 30 August 2022.

All research outputs

#2,402,523

of 23,206,358 outputs

Outputs from BMC Bioinformatics

#715

of 7,354 outputs

Outputs of similar age

#17,356

of 184,532 outputs

Outputs of similar age from BMC Bioinformatics

of 99 outputs

Altmetric has tracked 23,206,358 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.

So far Altmetric has tracked 7,354 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 particularly well, scoring higher than 90% 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 184,532 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 90% of its contemporaries.

We're also able to compare this research output to 99 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 90% of its contemporaries.

Combing the hairball with BioFabric: a new approach for visualization of large networks

About this Attention Score

Mentioned by

Citations

Readers on

Twitter Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context