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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of detection method for novel fusion gene using GeneChip exon array
|
|---|---|
| Published in |
Journal of Clinical Bioinformatics, February 2014
|
| DOI | 10.1186/2043-9113-4-3 |
| Pubmed ID | |
| Authors |
Yusaku Wada, Masaaki Matsuura, Minoru Sugawara, Masaru Ushijima, Satoshi Miyata, Koichi Nagasaki, Tetsuo Noda, Yoshio Miki |
| Abstract |
Fusion genes have been recognized to play key roles in oncogenesis. Though, many techniques have been developed for genome-wide analysis of fusion genes, a more efficient method is desired. |
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 % |
|---|---|---|
| Brazil | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 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 % |
|---|---|---|
| Korea, Republic of | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 35% |
| Other | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Master | 2 | 9% |
| Lecturer | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 35% |
| Biochemistry, Genetics and Molecular Biology | 5 | 22% |
| Medicine and Dentistry | 3 | 13% |
| Computer Science | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 3 | 13% |
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 07 April 2014.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Journal of Clinical Bioinformatics
#44
of 61 outputs
Outputs of similar age
#176,980
of 238,833 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#3
of 4 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 3rd percentile – i.e., 3% 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 238,833 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.