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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparing Cyclicity Analysis With Pre-established Functional Connectivity Methods to Identify Individuals and Subject Groups Using Resting State fMRI
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2020
|
| DOI | 10.3389/fncom.2019.00094 |
| Pubmed ID | |
| Authors |
Somayeh Shahsavarani, Ivan T. Abraham, Benjamin J. Zimmerman, Yuliy M. Baryshnikov, Fatima T. Husain |
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 % |
|---|---|---|
| Switzerland | 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 15% |
| Unspecified | 2 | 8% |
| Student > Master | 2 | 8% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 13 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 15% |
| Unspecified | 2 | 8% |
| Neuroscience | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 12 | 46% |
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 24 January 2020.
All research outputs
#20,601,627
of 23,189,371 outputs
Outputs from Frontiers in Computational Neuroscience
#1,176
of 1,364 outputs
Outputs of similar age
#382,129
of 456,660 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#33
of 35 outputs
Altmetric has tracked 23,189,371 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 1,364 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. 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 456,660 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 35 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.