| Title |
Building Equity Improvement into Quality Improvement: Reducing Socioeconomic Disparities in Colorectal Cancer Screening as Part of Population Health Management
|
|---|---|
| Published in |
Journal of General Internal Medicine, February 2015
|
| DOI | 10.1007/s11606-015-3227-4 |
| Pubmed ID | |
| Authors |
Seth A. Berkowitz, Sanja Percac-Lima, Jeffrey M. Ashburner, Yuchiao Chang, Adrian H. Zai, Wei He, Richard W. Grant, Steven J. Atlas |
| Abstract |
Improving colorectal cancer (CRC) screening rates for patients from socioeconomically disadvantaged backgrounds is a recognized public health priority. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 98 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 13% |
| Student > Doctoral Student | 13 | 13% |
| Student > Master | 10 | 10% |
| Student > Bachelor | 9 | 9% |
| Professor > Associate Professor | 6 | 6% |
| Other | 24 | 24% |
| Unknown | 25 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 27% |
| Nursing and Health Professions | 11 | 11% |
| Social Sciences | 11 | 11% |
| Computer Science | 4 | 4% |
| Psychology | 3 | 3% |
| Other | 13 | 13% |
| Unknown | 31 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 June 2015.
All research outputs
#17,236,312
of 25,311,095 outputs
Outputs from Journal of General Internal Medicine
#6,317
of 8,151 outputs
Outputs of similar age
#227,850
of 370,928 outputs
Outputs of similar age from Journal of General Internal Medicine
#101
of 138 outputs
Altmetric has tracked 25,311,095 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,151 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one is in the 18th percentile – i.e., 18% 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 370,928 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.