You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Perspectives on the Use of Multiple Sclerosis Risk Genes for Prediction
|
---|---|
Published in |
PLOS ONE, December 2011
|
DOI | 10.1371/journal.pone.0026493 |
Pubmed ID | |
Authors |
Naghmeh Jafari, Linda Broer, Cornelia M. van Duijn, A. Cecile J. W. Janssens, Rogier Q. Hintzen |
Abstract |
A recent collaborative genome-wide association study replicated a large number of susceptibility loci and identified novel loci. This increase in known multiple sclerosis (MS) risk genes raises questions about clinical applicability of genotyping. In an empirical set we assessed the predictive power of typing multiple genes. Next, in a modelling study we explored current and potential predictive performance of genetic MS risk models. |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
United States | 1 | 33% |
Australia | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Members of the public | 1 | 33% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 2% |
Unknown | 50 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 22% |
Researcher | 8 | 16% |
Student > Master | 7 | 14% |
Student > Bachelor | 4 | 8% |
Other | 3 | 6% |
Other | 9 | 18% |
Unknown | 9 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 13 | 25% |
Medicine and Dentistry | 10 | 20% |
Biochemistry, Genetics and Molecular Biology | 6 | 12% |
Computer Science | 2 | 4% |
Neuroscience | 2 | 4% |
Other | 7 | 14% |
Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 23 July 2012.
All research outputs
#13,861,788
of 22,659,164 outputs
Outputs from PLOS ONE
#111,616
of 193,435 outputs
Outputs of similar age
#151,556
of 239,890 outputs
Outputs of similar age from PLOS ONE
#1,465
of 2,750 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,435 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 40th percentile – i.e., 40% 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 239,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,750 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.