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Mendeley readers
Attention Score in Context
Title |
Integrated genomic analysis of triple-negative breast cancers reveals novel microRNAs associated with clinical and molecular phenotypes and sheds light on the pathways they control
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Published in |
BMC Genomics, September 2013
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DOI | 10.1186/1471-2164-14-643 |
Pubmed ID | |
Authors |
Emanuele de Rinaldis, Patrycja Gazinska, Anca Mera, Zora Modrusan, Grazyna M Fedorowicz, Brian Burford, Cheryl Gillett, Pierfrancesco Marra, Anita Grigoriadis, David Dornan, Lars Holmberg, Sarah Pinder, Andrew Tutt |
Abstract |
This study focuses on the analysis of miRNAs expression data in a cohort of 181 well characterised breast cancer samples composed primarily of triple-negative (ER/PR/HER2-negative) tumours with associated genome-wide DNA and mRNA data, extensive patient follow-up and pathological information. |
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 % |
---|---|---|
France | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 2 | 2% |
United States | 2 | 2% |
Sweden | 1 | 1% |
Japan | 1 | 1% |
Spain | 1 | 1% |
Unknown | 91 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 27 | 28% |
Student > Ph. D. Student | 22 | 22% |
Student > Master | 11 | 11% |
Student > Bachelor | 8 | 8% |
Professor > Associate Professor | 5 | 5% |
Other | 13 | 13% |
Unknown | 12 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 31 | 32% |
Medicine and Dentistry | 19 | 19% |
Biochemistry, Genetics and Molecular Biology | 17 | 17% |
Computer Science | 8 | 8% |
Engineering | 5 | 5% |
Other | 4 | 4% |
Unknown | 14 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 25 October 2013.
All research outputs
#2,147,680
of 25,374,647 outputs
Outputs from BMC Genomics
#523
of 11,244 outputs
Outputs of similar age
#18,827
of 214,767 outputs
Outputs of similar age from BMC Genomics
#8
of 206 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 214,767 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 91% of its contemporaries.
We're also able to compare this research output to 206 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 96% of its contemporaries.