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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hypothesis exploration with visualization of variance
|
|---|---|
| Published in |
BioData Mining, July 2014
|
| DOI | 10.1186/1756-0381-7-11 |
| Pubmed ID | |
| Authors |
Douglass Stott Parker, Eliza Congdon, Robert M Bilder |
| Abstract |
The Consortium for Neuropsychiatric Phenomics (CNP) at UCLA was an investigation into the biological bases of traits such as memory and response inhibition phenotypes-to explore whether they are linked to syndromes including ADHD, Bipolar disorder, and Schizophrenia. An aim of the consortium was in moving from traditional categorical approaches for psychiatric syndromes towards more quantitative approaches based on large-scale analysis of the space of human variation. It represented an application of phenomics-wide-scale, systematic study of phenotypes-to neuropsychiatry research. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 9% |
| Japan | 1 | 9% |
| United States | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 3% |
| Unknown | 34 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 17% |
| Student > Bachelor | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Other | 3 | 9% |
| Other | 6 | 17% |
| Unknown | 8 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 10 | 29% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Computer Science | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 12 | 34% |
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 04 May 2016.
All research outputs
#6,266,928
of 25,225,182 outputs
Outputs from BioData Mining
#116
of 321 outputs
Outputs of similar age
#54,286
of 234,351 outputs
Outputs of similar age from BioData Mining
#5
of 7 outputs
Altmetric has tracked 25,225,182 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 321 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has gotten more attention than average, scoring higher than 63% 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 234,351 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 76% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.