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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review
|
|---|---|
| Published in |
Frontiers in Neuroscience, June 2019
|
| DOI | 10.3389/fnins.2019.00585 |
| Pubmed ID | |
| Authors |
Farzad V. Farahani, Waldemar Karwowski, Nichole R. Lighthall |
X Demographics
The data shown below were collected from the profiles of 24 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 | 5 | 21% |
| United Kingdom | 2 | 8% |
| Italy | 2 | 8% |
| Canada | 1 | 4% |
| Switzerland | 1 | 4% |
| Unknown | 13 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 58% |
| Scientists | 9 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 828 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 828 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 156 | 19% |
| Student > Master | 105 | 13% |
| Researcher | 96 | 12% |
| Student > Bachelor | 64 | 8% |
| Student > Doctoral Student | 50 | 6% |
| Other | 107 | 13% |
| Unknown | 250 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 173 | 21% |
| Engineering | 82 | 10% |
| Psychology | 65 | 8% |
| Computer Science | 64 | 8% |
| Medicine and Dentistry | 38 | 5% |
| Other | 110 | 13% |
| Unknown | 296 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 June 2022.
All research outputs
#1,879,352
of 25,837,817 outputs
Outputs from Frontiers in Neuroscience
#992
of 11,678 outputs
Outputs of similar age
#39,938
of 370,311 outputs
Outputs of similar age from Frontiers in Neuroscience
#31
of 327 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,678 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done particularly well, scoring higher than 91% 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 370,311 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 327 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.