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X Demographics
Mendeley readers
Attention Score in Context
Title |
Deep Learning and Multiplex Networks for Accurate Modeling of Brain Age
|
---|---|
Published in |
Frontiers in Aging Neuroscience, May 2019
|
DOI | 10.3389/fnagi.2019.00115 |
Pubmed ID | |
Authors |
Nicola Amoroso, Marianna La Rocca, Loredana Bellantuono, Domenico Diacono, Annarita Fanizzi, Eufemia Lella, Angela Lombardi, Tommaso Maggipinto, Alfonso Monaco, Sabina Tangaro, Roberto Bellotti |
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 % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 71 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 17% |
Student > Ph. D. Student | 10 | 14% |
Student > Master | 8 | 11% |
Student > Doctoral Student | 5 | 7% |
Professor > Associate Professor | 3 | 4% |
Other | 7 | 10% |
Unknown | 26 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 10 | 14% |
Computer Science | 8 | 11% |
Medicine and Dentistry | 7 | 10% |
Physics and Astronomy | 5 | 7% |
Engineering | 4 | 6% |
Other | 7 | 10% |
Unknown | 30 | 42% |
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 27 June 2019.
All research outputs
#18,682,602
of 23,148,322 outputs
Outputs from Frontiers in Aging Neuroscience
#4,113
of 4,886 outputs
Outputs of similar age
#262,000
of 350,389 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#79
of 88 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,886 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 10th percentile – i.e., 10% 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 350,389 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.