| Title |
JAFFA: High sensitivity transcriptome-focused fusion gene detection
|
|---|---|
| Published in |
Genome Medicine, May 2015
|
| DOI | 10.1186/s13073-015-0167-x |
| Pubmed ID | |
| Authors |
Nadia M Davidson, Ian J Majewski, Alicia Oshlack |
X Demographics
The data shown below were collected from the profiles of 48 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 19% |
| Australia | 6 | 13% |
| United Kingdom | 5 | 10% |
| New Zealand | 3 | 6% |
| Canada | 2 | 4% |
| France | 2 | 4% |
| Brazil | 1 | 2% |
| Israel | 1 | 2% |
| Switzerland | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 15 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 31 | 65% |
| Members of the public | 16 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Germany | 3 | 2% |
| Norway | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Brazil | 1 | <1% |
| Indonesia | 1 | <1% |
| New Zealand | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 156 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 19% |
| Researcher | 31 | 18% |
| Student > Master | 24 | 14% |
| Student > Bachelor | 16 | 9% |
| Student > Doctoral Student | 10 | 6% |
| Other | 23 | 13% |
| Unknown | 35 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 31% |
| Biochemistry, Genetics and Molecular Biology | 49 | 28% |
| Computer Science | 14 | 8% |
| Medicine and Dentistry | 10 | 6% |
| Engineering | 2 | 1% |
| Other | 5 | 3% |
| Unknown | 39 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 48. 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 28 September 2023.
All research outputs
#886,612
of 25,998,826 outputs
Outputs from Genome Medicine
#169
of 1,612 outputs
Outputs of similar age
#10,474
of 282,711 outputs
Outputs of similar age from Genome Medicine
#3
of 31 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done well, scoring higher than 89% 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 282,711 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.