| Title |
Applications of node-based resilience graph theoretic framework to clustering autism spectrum disorders phenotypes
|
|---|---|
| Published in |
Applied Network Science, August 2018
|
| DOI | 10.1007/s41109-018-0093-0 |
| Pubmed ID | |
| Authors |
John Matta, Junya Zhao, Gunes Ercal, Tayo Obafemi-Ajayi |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 23% |
| Researcher | 4 | 18% |
| Student > Bachelor | 3 | 14% |
| Student > Doctoral Student | 2 | 9% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 18% |
| Arts and Humanities | 3 | 14% |
| Psychology | 3 | 14% |
| Physics and Astronomy | 1 | 5% |
| Medicine and Dentistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 04 September 2018.
All research outputs
#13,550,056
of 23,102,082 outputs
Outputs from Applied Network Science
#270
of 506 outputs
Outputs of similar age
#169,522
of 335,210 outputs
Outputs of similar age from Applied Network Science
#20
of 25 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 44th percentile – i.e., 44% 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 335,210 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.