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X Demographics
Mendeley readers
Attention Score in Context
| Title |
iview: an interactive WebGL visualizer for protein-ligand complex
|
|---|---|
| Published in |
BMC Bioinformatics, February 2014
|
| DOI | 10.1186/1471-2105-15-56 |
| Pubmed ID | |
| Authors |
Hongjian Li, Kwong-Sak Leung, Takanori Nakane, Man-Hon Wong |
| Abstract |
Visualization of protein-ligand complex plays an important role in elaborating protein-ligand interactions and aiding novel drug design. Most existing web visualizers either rely on slow software rendering, or lack virtual reality support. The vital feature of macromolecular surface construction is also unavailable. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 25% |
| France | 1 | 25% |
| Spain | 1 | 25% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Japan | 2 | 3% |
| India | 1 | 1% |
| Portugal | 1 | 1% |
| Brazil | 1 | 1% |
| Czechia | 1 | 1% |
| Unknown | 60 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 16% |
| Student > Master | 10 | 15% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Bachelor | 8 | 12% |
| Other | 7 | 10% |
| Other | 14 | 21% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 24% |
| Computer Science | 15 | 22% |
| Biochemistry, Genetics and Molecular Biology | 8 | 12% |
| Chemistry | 7 | 10% |
| Engineering | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 12 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 March 2014.
All research outputs
#13,539,941
of 23,577,761 outputs
Outputs from BMC Bioinformatics
#4,056
of 7,418 outputs
Outputs of similar age
#108,300
of 222,401 outputs
Outputs of similar age from BMC Bioinformatics
#53
of 103 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 222,401 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 50% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.