The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cortical depth-dependent human fMRI of resting-state networks using EPIK
|
|---|---|
| Published in |
Frontiers in Neuroscience, May 2023
|
| DOI | 10.3389/fnins.2023.1151544 |
| Pubmed ID | |
| Authors |
Patricia Pais-Roldán, Seong Dae Yun, Nicola Palomero-Gallagher, N. Jon Shah |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Scientists | 1 | 14% |
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 > Ph. D. Student | 9 | 41% |
| Researcher | 4 | 18% |
| Other | 2 | 9% |
| Student > Master | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 11 | 50% |
| Psychology | 2 | 9% |
| Computer Science | 1 | 5% |
| Economics, Econometrics and Finance | 1 | 5% |
| Unknown | 7 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 2023.
All research outputs
#7,243,357
of 26,176,298 outputs
Outputs from Frontiers in Neuroscience
#4,629
of 11,769 outputs
Outputs of similar age
#118,294
of 399,606 outputs
Outputs of similar age from Frontiers in Neuroscience
#97
of 397 outputs
Altmetric has tracked 26,176,298 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,769 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 gotten more attention than average, scoring higher than 60% 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 399,606 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 397 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.