| Title |
Effect of Sociodemographic Factors on Uptake of a Patient-Facing Information Technology Family Health History Risk Assessment Platform
|
|---|---|
| Published in |
Applied Clinical Informatics, March 2019
|
| DOI | 10.1055/s-0039-1679926 |
| Pubmed ID | |
| Authors |
R Ryanne Wu, Rachel A Myers, Adam H Buchanan, David Dimmock, Kimberly G Fulda, Irina V Haller, Susanne B Haga, Melissa L Harry, Catherine McCarty, Joan Neuner, Teji Rakhra-Burris, Nina Sperber, Corrine I Voils, Geoffrey S Ginsburg, Lori A Orlando |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 10% |
| Researcher | 5 | 10% |
| Student > Master | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Lecturer | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 21 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 19% |
| Computer Science | 5 | 10% |
| Social Sciences | 3 | 6% |
| Nursing and Health Professions | 3 | 6% |
| Arts and Humanities | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 20 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 May 2020.
All research outputs
#13,565,907
of 23,133,982 outputs
Outputs from Applied Clinical Informatics
#451
of 917 outputs
Outputs of similar age
#177,323
of 351,866 outputs
Outputs of similar age from Applied Clinical Informatics
#15
of 26 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 917 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 49th percentile – i.e., 49% 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 351,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.