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Attention Score in Context
Title |
Identification of gene fusion transcripts by transcriptome sequencing in BRCA1-mutated breast cancers and cell lines
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Published in |
BMC Medical Genomics, October 2011
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DOI | 10.1186/1755-8794-4-75 |
Pubmed ID | |
Authors |
Kevin CH Ha, Emilie Lalonde, Lili Li, Luca Cavallone, Rachael Natrajan, Maryou B Lambros, Costas Mitsopoulos, Jarle Hakas, Iwanka Kozarewa, Kerry Fenwick, Chris J Lord, Alan Ashworth, Anne Vincent-Salomon, Mark Basik, Jorge S Reis-Filho, Jacek Majewski, William D Foulkes |
Abstract |
Gene fusions arising from chromosomal translocations have been implicated in cancer. However, the role of gene fusions in BRCA1-related breast cancers is not well understood. Mutations in BRCA1 are associated with an increased risk for breast cancer (up to 80% lifetime risk) and ovarian cancer (up to 50%). We sought to identify putative gene fusions in the transcriptomes of these cancers using high-throughput RNA sequencing (RNA-Seq). |
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 % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Norway | 1 | <1% |
India | 1 | <1% |
Austria | 1 | <1% |
Japan | 1 | <1% |
Canada | 1 | <1% |
Unknown | 97 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 25% |
Researcher | 22 | 21% |
Student > Master | 9 | 9% |
Student > Bachelor | 8 | 8% |
Professor > Associate Professor | 8 | 8% |
Other | 18 | 17% |
Unknown | 13 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 42 | 40% |
Biochemistry, Genetics and Molecular Biology | 24 | 23% |
Medicine and Dentistry | 16 | 15% |
Computer Science | 2 | 2% |
Chemistry | 2 | 2% |
Other | 5 | 5% |
Unknown | 13 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 08 August 2018.
All research outputs
#5,844,852
of 22,655,397 outputs
Outputs from BMC Medical Genomics
#260
of 1,211 outputs
Outputs of similar age
#35,631
of 140,441 outputs
Outputs of similar age from BMC Medical Genomics
#3
of 8 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 78% 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 140,441 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 73% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.