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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fast network centrality analysis using GPUs
|
|---|---|
| Published in |
BMC Bioinformatics, May 2011
|
| DOI | 10.1186/1471-2105-12-149 |
| Pubmed ID | |
| Authors |
Zhiao Shi, Bing Zhang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| India | 3 | 5% |
| Spain | 2 | 3% |
| Brazil | 1 | 2% |
| France | 1 | 2% |
| Sweden | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 49 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 33% |
| Student > Master | 11 | 18% |
| Student > Ph. D. Student | 10 | 16% |
| Professor | 6 | 10% |
| Professor > Associate Professor | 5 | 8% |
| Other | 8 | 13% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 39% |
| Agricultural and Biological Sciences | 19 | 31% |
| Engineering | 6 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 6 | 10% |
| Unknown | 3 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 21 November 2017.
All research outputs
#15,483,707
of 23,008,860 outputs
Outputs from BMC Bioinformatics
#5,398
of 7,315 outputs
Outputs of similar age
#84,162
of 110,404 outputs
Outputs of similar age from BMC Bioinformatics
#62
of 83 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,315 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 18th percentile – i.e., 18% 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 110,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.