| Title |
Health Literacy and the Digital Divide Among Older Americans
|
|---|---|
| Published in |
Journal of General Internal Medicine, November 2014
|
| DOI | 10.1007/s11606-014-3069-5 |
| Pubmed ID | |
| Authors |
Helen Levy, Alexander T. Janke, Kenneth M. Langa |
| Abstract |
Among the requirements for meaningful use of electronic medical records (EMRs) is that patients must be able to interact online with information from their records. However, many older Americans may be unprepared to do this, particularly those with low levels of health literacy. |
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 | 9 | 41% |
| Brazil | 1 | 5% |
| Hungary | 1 | 5% |
| Switzerland | 1 | 5% |
| Germany | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 8 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 64% |
| Scientists | 4 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
| Practitioners (doctors, other healthcare professionals) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 331 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 325 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 42 | 13% |
| Student > Ph. D. Student | 38 | 11% |
| Researcher | 29 | 9% |
| Student > Doctoral Student | 26 | 8% |
| Student > Bachelor | 22 | 7% |
| Other | 82 | 25% |
| Unknown | 92 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 54 | 16% |
| Medicine and Dentistry | 47 | 14% |
| Nursing and Health Professions | 32 | 10% |
| Psychology | 20 | 6% |
| Computer Science | 20 | 6% |
| Other | 47 | 14% |
| Unknown | 111 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 132. 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 26 July 2017.
All research outputs
#310,086
of 25,122,155 outputs
Outputs from Journal of General Internal Medicine
#257
of 8,106 outputs
Outputs of similar age
#3,025
of 265,184 outputs
Outputs of similar age from Journal of General Internal Medicine
#6
of 116 outputs
Altmetric has tracked 25,122,155 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,106 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one has done particularly well, scoring higher than 96% 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 265,184 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.