| Title |
Brain network clustering with information flow motifs
|
|---|---|
| Published in |
Applied Network Science, August 2017
|
| DOI | 10.1007/s41109-017-0046-z |
| Authors |
Marcus Märtens, Jil Meier, Arjan Hillebrand, Prejaas Tewarie, Piet Van Mieghem |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 11% |
| United Kingdom | 2 | 11% |
| Chile | 1 | 6% |
| United States | 1 | 6% |
| Japan | 1 | 6% |
| Spain | 1 | 6% |
| Romania | 1 | 6% |
| Unknown | 9 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 83% |
| Scientists | 2 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 25% |
| Student > Ph. D. Student | 7 | 22% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 6 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 7 | 22% |
| Computer Science | 5 | 16% |
| Mathematics | 2 | 6% |
| Physics and Astronomy | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 7 | 22% |
| Unknown | 7 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 03 June 2018.
All research outputs
#3,057,648
of 24,935,186 outputs
Outputs from Applied Network Science
#78
of 575 outputs
Outputs of similar age
#54,160
of 322,621 outputs
Outputs of similar age from Applied Network Science
#3
of 16 outputs
Altmetric has tracked 24,935,186 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 575 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done well, scoring higher than 86% 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 322,621 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 83% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.