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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genotyping of human neutrophil antigens (HNA) from whole genome sequencing data
|
|---|---|
| Published in |
BMC Medical Genomics, September 2013
|
| DOI | 10.1186/1755-8794-6-31 |
| Pubmed ID | |
| Authors |
Hsueh-Ting Chu, Han Lin, Theresa Tsun-Hui Tsao, Chun-Fan Chang, William WL Hsiao, Tze-Jung Yeh, Ching-Mao Chang, Yen-Wenn Liu, Tse-Yi Wang, Ko-Chun Yang, Tsung-Jui Chen, Jen-Chih Chen, Kuang-Chi Chen, Cheng-Yan Kao |
| Abstract |
Neutrophil antigens are involved in a variety of clinical conditions including transfusion-related acute lung injury (TRALI) and other transfusion-related diseases. Recently, there are five characterized groups of human neutrophil antigen (HNA) systems, the HNA1 to 5. Characterization of all neutrophil antigens from whole genome sequencing (WGS) data may be accomplished for revealing complete genotyping formats of neutrophil antigens collectively at genome level with molecular variations which may respectively be revealed with available genotyping techniques for neutrophil antigens conventionally. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 22% |
| Professor > Associate Professor | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Master | 2 | 9% |
| Researcher | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 22% |
| Agricultural and Biological Sciences | 2 | 9% |
| Medicine and Dentistry | 2 | 9% |
| Computer Science | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 48% |
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 20 September 2020.
All research outputs
#6,395,364
of 22,721,584 outputs
Outputs from BMC Medical Genomics
#290
of 1,217 outputs
Outputs of similar age
#55,533
of 198,485 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 13 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,217 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 198,485 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 70% of its contemporaries.
We're also able to compare this research output to 13 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 69% of its contemporaries.