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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epilepsy Risk Prediction Model for Patients With Tuberous Sclerosis Complex
|
|---|---|
| Published in |
Pediatric Neurology, July 2020
|
| DOI | 10.1016/j.pediatrneurol.2020.07.015 |
| Pubmed ID | |
| Authors |
Laura S. Farach, Melissa A. Richard, Philip J. Lupo, Mustafa Sahin, Darcy A. Krueger, Joyce Y. Wu, Elizabeth M. Bebin, Kit Sing Au, Hope Northrup, TACERN Study Group, M. Sahin, D. Krueger, M. Bebin, J.Y. Wu, H. Northrup, S. Warfield, J. Peters, B. Scherrer, M. Goyal, R. Filip-Dhima, K. Dies, S. Bruns, E. Hanson, N. Bing, B. Kent, S. O'Kelley, M.E. Williams, D. Pearson, G. Cutter, S. Roberds, D.S. Murray |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 20% |
| Turkey | 1 | 20% |
| Mexico | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 10% |
| Other | 3 | 7% |
| Student > Master | 3 | 7% |
| Researcher | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 20 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Neuroscience | 2 | 5% |
| Unspecified | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 29 | 69% |
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 12 October 2020.
All research outputs
#15,179,141
of 25,387,668 outputs
Outputs from Pediatric Neurology
#1,110
of 2,647 outputs
Outputs of similar age
#223,803
of 427,202 outputs
Outputs of similar age from Pediatric Neurology
#18
of 36 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,647 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 56% 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 427,202 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.