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X Demographics
Mendeley readers
Attention Score in Context
Title |
A multi-gene signature predicts outcome in patients with pancreatic ductal adenocarcinoma
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Published in |
Genome Medicine, December 2014
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DOI | 10.1186/s13073-014-0105-3 |
Pubmed ID | |
Authors |
Syed Haider, Jun Wang, Ai Nagano, Ami Desai, Prabhu Arumugam, Laurent Dumartin, Jude Fitzgibbon, Thorsten Hagemann, John F Marshall, Hemant M Kocher, Tatjana Crnogorac-Jurcevic, Aldo Scarpa, Nicholas R Lemoine, Claude Chelala |
Abstract |
Improved usage of the repertoires of pancreatic ductal adenocarcinoma (PDAC) profiles is crucially needed to guide the development of predictive and prognostic tools that could inform the selection of treatment options. |
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 % |
---|---|---|
China | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Sweden | 1 | 1% |
Unknown | 72 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 27% |
Student > Ph. D. Student | 17 | 23% |
Student > Bachelor | 8 | 11% |
Student > Master | 5 | 7% |
Student > Postgraduate | 3 | 4% |
Other | 8 | 11% |
Unknown | 13 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 19 | 26% |
Agricultural and Biological Sciences | 17 | 23% |
Medicine and Dentistry | 13 | 18% |
Computer Science | 3 | 4% |
Nursing and Health Professions | 2 | 3% |
Other | 4 | 5% |
Unknown | 16 | 22% |
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 18 January 2015.
All research outputs
#20,269,645
of 25,775,807 outputs
Outputs from Genome Medicine
#1,519
of 1,612 outputs
Outputs of similar age
#262,057
of 370,570 outputs
Outputs of similar age from Genome Medicine
#40
of 40 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
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 26.1. This one is in the 4th percentile – i.e., 4% 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 370,570 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.