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X Demographics
Mendeley readers
Attention Score in Context
| Title |
3DScapeCS: application of three dimensional, parallel, dynamic network visualization in Cytoscape
|
|---|---|
| Published in |
BMC Bioinformatics, November 2013
|
| DOI | 10.1186/1471-2105-14-322 |
| Pubmed ID | |
| Authors |
Qi Wang, Biao Tang, Lifu Song, Biao Ren, Qun Liang, Feng Xie, Ying Zhuo, Xueting Liu, Lixin Zhang |
| Abstract |
The exponential growth of gigantic biological data from various sources, such as protein-protein interaction (PPI), genome sequences scaffolding, Mass spectrometry (MS) molecular networking and metabolic flux, demands an efficient way for better visualization and interpretation beyond the conventional, two-dimensional visualization tools. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 22% |
| Japan | 1 | 11% |
| Hungary | 1 | 11% |
| United Kingdom | 1 | 11% |
| Norway | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Luxembourg | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 52 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 27% |
| Student > Ph. D. Student | 13 | 24% |
| Other | 6 | 11% |
| Professor > Associate Professor | 5 | 9% |
| Student > Master | 5 | 9% |
| Other | 7 | 13% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 44% |
| Computer Science | 10 | 18% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Chemistry | 4 | 7% |
| Medicine and Dentistry | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 5 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 November 2013.
All research outputs
#6,683,010
of 25,706,302 outputs
Outputs from BMC Bioinformatics
#2,292
of 7,735 outputs
Outputs of similar age
#55,470
of 225,388 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 117 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 7,735 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 70% 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 225,388 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 75% of its contemporaries.
We're also able to compare this research output to 117 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 70% of its contemporaries.