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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrated web visualizations for protein-protein interaction databases
|
|---|---|
| Published in |
BMC Bioinformatics, June 2015
|
| DOI | 10.1186/s12859-015-0615-z |
| Pubmed ID | |
| Authors |
Fleur Jeanquartier, Claire Jean-Quartier, Andreas Holzinger |
| Abstract |
Understanding living systems is crucial for curing diseases. To achieve this task we have to understand biological networks based on protein-protein interactions. Bioinformatics has come up with a great amount of databases and tools that support analysts in exploring protein-protein interactions on an integrated level for knowledge discovery. They provide predictions and correlations, indicate possibilities for future experimental research and fill the gaps to complete the picture of biochemical processes. There are numerous and huge databases of protein-protein interactions used to gain insights into answering some of the many questions of systems biology. Many computational resources integrate interaction data with additional information on molecular background. However, the vast number of diverse Bioinformatics resources poses an obstacle to the goal of understanding. We present a survey of databases that enable the visual analysis of protein networks. We selected M =10 out of N =53 resources supporting visualization, and we tested against the following set of criteria: interoperability, data integration, quantity of possible interactions, data visualization quality and data coverage. The study reveals differences in usability, visualization features and quality as well as the quantity of interactions. StringDB is the recommended first choice. CPDB presents a comprehensive dataset and IntAct lets the user change the network layout. A comprehensive comparison table is available via web. The supplementary table can be accessed on http://tinyurl.com/PPI-DB-Comparison-2015 . Only some web resources featuring graph visualization can be successfully applied to interactive visual analysis of protein-protein interaction. Study results underline the necessity for further enhancements of visualization integration in biochemical analysis tools. Identified challenges are data comprehensiveness, confidence, interactive feature and visualization maturing. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Canada | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| Germany | 2 | 2% |
| India | 2 | 2% |
| Austria | 2 | 2% |
| Korea, Republic of | 1 | <1% |
| Italy | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 94 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 22% |
| Researcher | 20 | 19% |
| Student > Master | 16 | 15% |
| Student > Bachelor | 11 | 10% |
| Professor > Associate Professor | 6 | 6% |
| Other | 15 | 14% |
| Unknown | 15 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 26% |
| Biochemistry, Genetics and Molecular Biology | 21 | 20% |
| Agricultural and Biological Sciences | 21 | 20% |
| Chemistry | 4 | 4% |
| Nursing and Health Professions | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 23 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 04 August 2015.
All research outputs
#7,216,867
of 22,813,792 outputs
Outputs from BMC Bioinformatics
#2,863
of 7,284 outputs
Outputs of similar age
#77,642
of 239,955 outputs
Outputs of similar age from BMC Bioinformatics
#55
of 112 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,284 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 gotten more attention than average, scoring higher than 59% 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 239,955 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 66% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.