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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring community structure in biological networks with random graphs
|
|---|---|
| Published in |
BMC Bioinformatics, June 2014
|
| DOI | 10.1186/1471-2105-15-220 |
| Pubmed ID | |
| Authors |
Pratha Sah, Lisa O Singh, Aaron Clauset, Shweta Bansal |
| Abstract |
Community structure is ubiquitous in biological networks. There has been an increased interest in unraveling the community structure of biological systems as it may provide important insights into a system's functional components and the impact of local structures on dynamics at a global scale. Choosing an appropriate community detection algorithm to identify the community structure in an empirical network can be difficult, however, as the many algorithms available are based on a variety of cost functions and are difficult to validate. Even when community structure is identified in an empirical system, disentangling the effect of community structure from other network properties such as clustering coefficient and assortativity can be a challenge. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 50% |
| United Kingdom | 1 | 17% |
| Norway | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 4% |
| Germany | 1 | <1% |
| South Africa | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 114 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 22% |
| Researcher | 27 | 22% |
| Student > Master | 13 | 11% |
| Professor | 9 | 7% |
| Student > Bachelor | 8 | 7% |
| Other | 20 | 16% |
| Unknown | 18 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 25% |
| Computer Science | 19 | 16% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Physics and Astronomy | 5 | 4% |
| Neuroscience | 4 | 3% |
| Other | 25 | 20% |
| Unknown | 30 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 August 2014.
All research outputs
#6,450,171
of 23,325,355 outputs
Outputs from BMC Bioinformatics
#2,446
of 7,386 outputs
Outputs of similar age
#60,443
of 229,196 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 151 outputs
Altmetric has tracked 23,325,355 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,386 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 gotten more attention than average, scoring higher than 66% 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 229,196 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 151 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 71% of its contemporaries.