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Attention Score in Context
| Title |
Publisher Correction: Finding influential nodes for integration in brain networks using optimal percolation theory
|
|---|---|
| Published in |
Nature Communications, August 2018
|
| DOI | 10.1038/s41467-018-05686-4 |
| Pubmed ID | |
| Authors |
Gino Del Ferraro, Andrea Moreno, Byungjoon Min, Flaviano Morone, Úrsula Pérez-Ramírez, Laura Pérez-Cervera, Lucas C. Parra, Andrei Holodny, Santiago Canals, Hernán A. Makse |
| Abstract |
The original version of this Article contained an error in the last sentence of the first paragraph of the Introduction, which incorrectly read 'Correlation of brain activity is typically measured using functional magnetic resonance imaging (fMRI), and the correlation structure is often referred to as "fu'. The correct version states 'referred to as "functional connectivity"2-6' in place of 'referred to as "fu'. This has been corrected in both the PDF and HTML versions of the Article. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 50% |
| Student > Postgraduate | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 50% |
| Mathematics | 1 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 August 2018.
All research outputs
#20,529,980
of 23,099,576 outputs
Outputs from Nature Communications
#46,247
of 47,639 outputs
Outputs of similar age
#288,846
of 331,034 outputs
Outputs of similar age from Nature Communications
#1,310
of 1,338 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 47,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.9. This one is in the 1st percentile – i.e., 1% 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 331,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,338 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.