| Title |
Connecting and linking neurocognitive, digital phenotyping, physiologic, psychophysical, neuroimaging, genomic, & sensor data with survey data
|
|---|---|
| Published in |
EPJ Data Science, February 2021
|
| DOI | 10.1140/epjds/s13688-021-00264-z |
| Pubmed ID | |
| Authors |
Charles E. Knott, Stephen Gomori, Mai Ngyuen, Susan Pedrazzani, Sridevi Sattaluri, Frank Mierzwa, Kim Chantala |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
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 | 3 | 14% |
| Other | 2 | 9% |
| Student > Master | 2 | 9% |
| Professor | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 11 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 32% |
| Medicine and Dentistry | 1 | 5% |
| Engineering | 1 | 5% |
| Unknown | 13 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 February 2021.
All research outputs
#8,239,174
of 24,831,063 outputs
Outputs from EPJ Data Science
#347
of 418 outputs
Outputs of similar age
#200,758
of 527,709 outputs
Outputs of similar age from EPJ Data Science
#13
of 13 outputs
Altmetric has tracked 24,831,063 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.5. This one is in the 17th percentile – i.e., 17% 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 527,709 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 61% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.