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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mango: combining and analyzing heterogeneous biological networks
|
|---|---|
| Published in |
BioData Mining, August 2016
|
| DOI | 10.1186/s13040-016-0105-5 |
| Pubmed ID | |
| Authors |
Jennifer Chang, Hyejin Cho, Hui-Hsien Chou |
| Abstract |
Heterogeneous biological data such as sequence matches, gene expression correlations, protein-protein interactions, and biochemical pathways can be merged and analyzed via graphs, or networks. Existing software for network analysis has limited scalability to large data sets or is only accessible to software developers as libraries. In addition, the polymorphic nature of the data sets requires a more standardized method for integration and exploration. Mango facilitates large network analyses with its Graph Exploration Language, automatic graph attribute handling, and real-time 3-dimensional visualization. On a personal computer Mango can load, merge, and analyze networks with millions of links and can connect to online databases to fetch and merge biological pathways. Mango is written in C++ and runs on Mac OS, Windows, and Linux. The stand-alone distributions, including the Graph Exploration Language integrated development environment, are freely available for download from http://www.complex.iastate.edu/download/Mango. The Mango User Guide listing all features can be found at http://www.gitbook.com/book/j23414/mango-user-guide. |
X Demographics
The data shown below were collected from the profiles of 16 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 | 9 | 56% |
| India | 2 | 13% |
| Germany | 1 | 6% |
| Comoros | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 2 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 56% |
| Scientists | 7 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Cuba | 1 | 3% |
| United States | 1 | 3% |
| New Caledonia | 1 | 3% |
| Singapore | 1 | 3% |
| Unknown | 34 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 26% |
| Student > Ph. D. Student | 10 | 26% |
| Student > Bachelor | 4 | 11% |
| Professor | 3 | 8% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 29% |
| Biochemistry, Genetics and Molecular Biology | 9 | 24% |
| Computer Science | 5 | 13% |
| Medicine and Dentistry | 3 | 8% |
| Physics and Astronomy | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 7 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 17 October 2016.
All research outputs
#3,001,105
of 23,577,654 outputs
Outputs from BioData Mining
#63
of 314 outputs
Outputs of similar age
#56,029
of 369,455 outputs
Outputs of similar age from BioData Mining
#4
of 7 outputs
Altmetric has tracked 23,577,654 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 314 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 79% 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 369,455 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 84% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.