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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Interactive network visualization in Jupyter notebooks: visJS2jupyter.
|
|---|---|
| Published in |
Bioinformatics, September 2017
|
| DOI | 10.1093/bioinformatics/btx581 |
| Pubmed ID | |
| Authors |
Sara Brin Rosenthal, Julia Len, Mikayla Webster, Aaron Gary, Amanda Birmingham, Kathleen M Fisch |
| Abstract |
Network biology is widely used to elucidate mechanisms of disease and biological processes. The ability to interact with biological networks is important for hypothesis generation and to give researchers an intuitive understanding of the data. We present visJS2jupyter, a tool designed to embed interactive networks in Jupyter notebooks to streamline network analysis and to promote reproducible research. The tool provides functions for performing and visualizing useful network operations in biology, including network overlap, network propagation around a focal set of genes, and co-localization of two sets of seed genes. visJS2jupyter uses the JavaScript library vis.js to create interactive networks displayed within Jupyter notebook cells with features including drag, click, hover, and zoom. We demonstrate the functionality of visJS2jupyter applied to a biological question, by creating a network propagation visualization to prioritize risk-related genes in autism. The visJS2jupyter package is distributed under the MIT License. The source code, documentation, and installation instructions are freely available on GitHub at https://github.com/ucsd-ccbb/visJS2jupyter . The package can be downloaded at https://pypi.python.org/pypi/visJS2jupyter . [email protected]. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 5 | 38% |
| Japan | 1 | 8% |
| United Kingdom | 1 | 8% |
| Korea, Republic of | 1 | 8% |
| India | 1 | 8% |
| Canada | 1 | 8% |
| Unknown | 3 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 16% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Master | 6 | 14% |
| Student > Doctoral Student | 3 | 7% |
| Professor | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 14% |
| Agricultural and Biological Sciences | 6 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 9% |
| Medicine and Dentistry | 2 | 5% |
| Psychology | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 15 | 35% |
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 22 October 2019.
All research outputs
#3,286,132
of 23,342,092 outputs
Outputs from Bioinformatics
#2,173
of 8,020 outputs
Outputs of similar age
#61,692
of 317,000 outputs
Outputs of similar age from Bioinformatics
#42
of 164 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,020 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 72% 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 317,000 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 80% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.