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X Demographics
Mendeley readers
Attention Score in Context
Title |
Interpreting Non-coding Genetic Variation in Multiple Sclerosis Genome-Wide Associated Regions
|
---|---|
Published in |
Frontiers in Genetics, December 2018
|
DOI | 10.3389/fgene.2018.00647 |
Pubmed ID | |
Authors |
Elvezia Maria Paraboschi, Giulia Cardamone, Giulia Soldà, Stefano Duga, Rosanna Asselta |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Switzerland | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 15% |
Student > Bachelor | 5 | 12% |
Student > Postgraduate | 5 | 12% |
Student > Ph. D. Student | 4 | 10% |
Other | 3 | 7% |
Other | 6 | 15% |
Unknown | 12 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 8 | 20% |
Neuroscience | 5 | 12% |
Medicine and Dentistry | 5 | 12% |
Agricultural and Biological Sciences | 4 | 10% |
Computer Science | 1 | 2% |
Other | 1 | 2% |
Unknown | 17 | 41% |
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 09 January 2019.
All research outputs
#14,433,178
of 23,117,738 outputs
Outputs from Frontiers in Genetics
#4,010
of 12,165 outputs
Outputs of similar age
#219,110
of 406,616 outputs
Outputs of similar age from Frontiers in Genetics
#120
of 253 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,165 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 62% 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 406,616 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 253 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.