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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accurate HLA type inference using a weighted similarity graph
|
|---|---|
| Published in |
BMC Bioinformatics, December 2010
|
| DOI | 10.1186/1471-2105-11-s11-s10 |
| Pubmed ID | |
| Authors |
Minzhu Xie, Jing Li, Tao Jiang |
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 % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| South Africa | 1 | 2% |
| Italy | 1 | 2% |
| Spain | 1 | 2% |
| Mexico | 1 | 2% |
| Unknown | 50 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 18% |
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 9 | 16% |
| Student > Bachelor | 7 | 13% |
| Student > Doctoral Student | 2 | 4% |
| Other | 8 | 14% |
| Unknown | 11 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 21% |
| Biochemistry, Genetics and Molecular Biology | 11 | 20% |
| Computer Science | 6 | 11% |
| Medicine and Dentistry | 5 | 9% |
| Immunology and Microbiology | 4 | 7% |
| Other | 5 | 9% |
| Unknown | 13 | 23% |
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 19 September 2016.
All research outputs
#20,336,031
of 22,881,154 outputs
Outputs from BMC Bioinformatics
#6,872
of 7,298 outputs
Outputs of similar age
#170,786
of 181,102 outputs
Outputs of similar age from BMC Bioinformatics
#51
of 53 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,298 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 1st percentile – i.e., 1% 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 181,102 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.