| Title |
Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks
|
|---|---|
| Published in |
Brain Topography, November 2019
|
| DOI | 10.1007/s10548-019-00744-6 |
| Pubmed ID | |
| Authors |
Lucina Q. Uddin, B. T. Thomas Yeo, R. Nathan Spreng |
X Demographics
The data shown below were collected from the profiles of 218 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 | 69 | 32% |
| United Kingdom | 18 | 8% |
| Canada | 11 | 5% |
| Australia | 11 | 5% |
| Germany | 7 | 3% |
| Italy | 5 | 2% |
| Mexico | 5 | 2% |
| Netherlands | 4 | 2% |
| Brazil | 4 | 2% |
| Other | 26 | 12% |
| Unknown | 58 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 112 | 51% |
| Members of the public | 93 | 43% |
| Practitioners (doctors, other healthcare professionals) | 12 | 6% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 468 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 468 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 107 | 23% |
| Researcher | 70 | 15% |
| Student > Master | 47 | 10% |
| Student > Doctoral Student | 34 | 7% |
| Student > Bachelor | 31 | 7% |
| Other | 70 | 15% |
| Unknown | 109 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 127 | 27% |
| Psychology | 88 | 19% |
| Medicine and Dentistry | 34 | 7% |
| Engineering | 17 | 4% |
| Computer Science | 8 | 2% |
| Other | 53 | 11% |
| Unknown | 141 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 129. 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 September 2023.
All research outputs
#329,283
of 25,793,330 outputs
Outputs from Brain Topography
#3
of 531 outputs
Outputs of similar age
#7,324
of 381,699 outputs
Outputs of similar age from Brain Topography
#1
of 12 outputs
Altmetric has tracked 25,793,330 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 531 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 99% 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 381,699 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.