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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pavlovian-based neurofeedback enhances meta-awareness of mind-wandering
|
|---|---|
| Published in |
Neural Networks, November 2022
|
| DOI | 10.1016/j.neunet.2022.11.024 |
| Pubmed ID | |
| Authors |
Issaku Kawashima, Toru Nagahama, Hiroaki Kumano, Keiko Momose, Saori C Tanaka |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 3 | 20% |
| United States | 2 | 13% |
| Netherlands | 1 | 7% |
| Uganda | 1 | 7% |
| India | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 3 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 17% |
| Other | 3 | 10% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Doctoral Student | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 15 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 5 | 17% |
| Medicine and Dentistry | 2 | 7% |
| Psychology | 2 | 7% |
| Unspecified | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 17 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 96. 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 28 January 2023.
All research outputs
#440,691
of 25,392,582 outputs
Outputs from Neural Networks
#10
of 1,792 outputs
Outputs of similar age
#10,711
of 488,174 outputs
Outputs of similar age from Neural Networks
#1
of 45 outputs
Altmetric has tracked 25,392,582 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 1,792 research outputs from this source. They receive a mean Attention Score of 4.9. 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 488,174 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 97% of its contemporaries.
We're also able to compare this research output to 45 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 97% of its contemporaries.