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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-Modal Integration of EEG-fNIRS for Characterization of Brain Activity Evoked by Preferred Music
|
|---|---|
| Published in |
Frontiers in Neurorobotics, January 2022
|
| DOI | 10.3389/fnbot.2022.823435 |
| Pubmed ID | |
| Authors |
Lina Qiu, Yongshi Zhong, Qiuyou Xie, Zhipeng He, Xiaoyun Wang, Yingyue Chen, Chang'an A. Zhan, Jiahui Pan |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 25% |
| Thailand | 1 | 13% |
| Germany | 1 | 13% |
| Chile | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 12% |
| Student > Ph. D. Student | 2 | 8% |
| Professor | 1 | 4% |
| Student > Master | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 17 | 68% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 12% |
| Neuroscience | 2 | 8% |
| Chemistry | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 18 | 72% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 29 March 2022.
All research outputs
#6,573,957
of 25,410,626 outputs
Outputs from Frontiers in Neurorobotics
#140
of 1,041 outputs
Outputs of similar age
#140,520
of 518,112 outputs
Outputs of similar age from Frontiers in Neurorobotics
#7
of 55 outputs
Altmetric has tracked 25,410,626 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,041 research outputs from this source. They receive a mean Attention Score of 4.1. 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 518,112 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 72% of its contemporaries.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.