| Title |
Disease associations depend on visit type: results from a visit-wide association study
|
|---|---|
| Published in |
BioData Mining, July 2019
|
| DOI | 10.1186/s13040-019-0203-2 |
| Pubmed ID | |
| Authors |
Mary Regina Boland, Snigdha Alur-Gupta, Lisa Levine, Peter Gabriel, Graciela Gonzalez-Hernandez |
X Demographics
The data shown below were collected from the profiles of 22 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 | 14 | 64% |
| Kenya | 2 | 9% |
| United Kingdom | 1 | 5% |
| Spain | 1 | 5% |
| Guinea | 1 | 5% |
| Philippines | 1 | 5% |
| Unknown | 2 | 9% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 55% |
| Scientists | 8 | 36% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 18% |
| Librarian | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Nursing and Health Professions | 1 | 9% |
| Computer Science | 1 | 9% |
| Social Sciences | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 11 December 2019.
All research outputs
#2,418,926
of 23,559,085 outputs
Outputs from BioData Mining
#49
of 315 outputs
Outputs of similar age
#51,627
of 347,880 outputs
Outputs of similar age from BioData Mining
#1
of 5 outputs
Altmetric has tracked 23,559,085 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 315 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 84% 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 347,880 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 85% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them