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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TopHat-Fusion: an algorithm for discovery of novel fusion transcripts
|
|---|---|
| Published in |
Genome Biology, August 2011
|
| DOI | 10.1186/gb-2011-12-8-r72 |
| Pubmed ID | |
| Authors |
Daehwan Kim, Steven L Salzberg |
| Abstract |
TopHat-Fusion is an algorithm designed to discover transcripts representing fusion gene products, which result from the breakage and re-joining of two different chromosomes, or from rearrangements within a chromosome. TopHat-Fusion is an enhanced version of TopHat, an efficient program that aligns RNA-seq reads without relying on existing annotation. Because it is independent of gene annotation, TopHat-Fusion can discover fusion products deriving from known genes, unknown genes and unannotated splice variants of known genes. Using RNA-seq data from breast and prostate cancer cell lines, we detected both previously reported and novel fusions with solid supporting evidence. TopHat-Fusion is available at http://tophat-fusion.sourceforge.net/. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 3 | 25% |
| Germany | 2 | 17% |
| France | 1 | 8% |
| Brazil | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 75% |
| Members of the public | 3 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 760 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 25 | 3% |
| United Kingdom | 6 | <1% |
| Germany | 5 | <1% |
| France | 5 | <1% |
| Korea, Republic of | 4 | <1% |
| Norway | 3 | <1% |
| Italy | 3 | <1% |
| China | 3 | <1% |
| Switzerland | 2 | <1% |
| Other | 14 | 2% |
| Unknown | 690 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 217 | 29% |
| Student > Ph. D. Student | 169 | 22% |
| Student > Master | 94 | 12% |
| Student > Bachelor | 44 | 6% |
| Student > Doctoral Student | 38 | 5% |
| Other | 118 | 16% |
| Unknown | 80 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 357 | 47% |
| Biochemistry, Genetics and Molecular Biology | 149 | 20% |
| Computer Science | 63 | 8% |
| Medicine and Dentistry | 44 | 6% |
| Neuroscience | 12 | 2% |
| Other | 42 | 6% |
| Unknown | 93 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 09 January 2024.
All research outputs
#1,152,071
of 25,371,288 outputs
Outputs from Genome Biology
#854
of 4,467 outputs
Outputs of similar age
#4,789
of 131,745 outputs
Outputs of similar age from Genome Biology
#4
of 44 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 80% 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 131,745 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 44 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.