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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Game controller modification for fMRI hyperscanning experiments in a cooperative virtual reality environment
|
|---|---|
| Published in |
MethodsX, November 2014
|
| DOI | 10.1016/j.mex.2014.10.009 |
| Pubmed ID | |
| Authors |
Jason Trees, Joseph Snider, Maryam Falahpour, Nick Guo, Kun Lu, Douglas C. Johnson, Howard Poizner, Thomas T. Liu |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 17% |
| United Kingdom | 1 | 8% |
| Ireland | 1 | 8% |
| Sweden | 1 | 8% |
| Spain | 1 | 8% |
| Canada | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 50% |
| Scientists | 4 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Unknown | 75 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 16% |
| Student > Master | 10 | 13% |
| Researcher | 8 | 10% |
| Student > Doctoral Student | 8 | 10% |
| Student > Bachelor | 7 | 9% |
| Other | 13 | 17% |
| Unknown | 19 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 10 | 13% |
| Psychology | 9 | 12% |
| Engineering | 8 | 10% |
| Computer Science | 7 | 9% |
| Social Sciences | 4 | 5% |
| Other | 16 | 21% |
| Unknown | 23 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 30 November 2014.
All research outputs
#4,836,328
of 25,374,917 outputs
Outputs from MethodsX
#91
of 898 outputs
Outputs of similar age
#52,718
of 275,907 outputs
Outputs of similar age from MethodsX
#2
of 16 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 898 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 88% 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 275,907 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.