You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Implementing a multilevel intervention to accelerate colorectal cancer screening and follow-up in federally qualified health centers using a stepped wedge design: a study protocol
|
|---|---|
| Published in |
Implementation Science, October 2020
|
| DOI | 10.1186/s13012-020-01045-4 |
| Pubmed ID | |
| Authors |
Karen Kim, Blasé Polite, Donald Hedeker, David Liebovitz, Fornessa Randal, Manasi Jayaprakash, Michael Quinn, Sang Mee Lee, Helen Lam |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 15% |
| Student > Master | 5 | 9% |
| Unspecified | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Librarian | 3 | 6% |
| Other | 10 | 19% |
| Unknown | 21 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 19% |
| Nursing and Health Professions | 9 | 17% |
| Psychology | 4 | 8% |
| Unspecified | 3 | 6% |
| Business, Management and Accounting | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 22 | 42% |
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 31 October 2020.
All research outputs
#15,708,439
of 23,342,092 outputs
Outputs from Implementation Science
#1,566
of 1,729 outputs
Outputs of similar age
#259,606
of 421,293 outputs
Outputs of similar age from Implementation Science
#31
of 31 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,729 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 5th percentile – i.e., 5% 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 421,293 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 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.