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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessing regression to the mean effects in health care initiatives
|
|---|---|
| Published in |
BMC Medical Research Methodology, September 2013
|
| DOI | 10.1186/1471-2288-13-119 |
| Pubmed ID | |
| Authors |
Ariel Linden |
| Abstract |
Interventions targeting individuals classified as "high-risk" have become common-place in health care. High-risk may represent outlier values on utilization, cost, or clinical measures. Typically, such individuals are invited to participate in an intervention intended to reduce their level of risk, and after a period of time, a follow-up measurement is taken. However, individuals initially identified by their outlier values will likely have lower values on re-measurement in the absence of an intervention. This statistical phenomenon is known as "regression to the mean" (RTM) and often leads to an inaccurate conclusion that the intervention caused the effect. Concerns about RTM are rarely raised in connection with most health care interventions, and it is uncommon to find evaluators who estimate its effect. This may be due to lack of awareness, cognitive biases that may cause people to systematically misinterpret RTM effects by creating (erroneous) explanations to account for it, or by design. |
X Demographics
The data shown below were collected from the profiles of 17 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 Kingdom | 4 | 24% |
| United States | 2 | 12% |
| Brazil | 1 | 6% |
| Malaysia | 1 | 6% |
| Norway | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 4 | 24% |
| Practitioners (doctors, other healthcare professionals) | 3 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sudan | 1 | <1% |
| Italy | 1 | <1% |
| Kenya | 1 | <1% |
| Australia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 130 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 19% |
| Student > Ph. D. Student | 22 | 16% |
| Student > Master | 14 | 10% |
| Other | 13 | 10% |
| Student > Bachelor | 8 | 6% |
| Other | 25 | 19% |
| Unknown | 27 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 26% |
| Psychology | 19 | 14% |
| Nursing and Health Professions | 9 | 7% |
| Social Sciences | 7 | 5% |
| Computer Science | 5 | 4% |
| Other | 22 | 16% |
| Unknown | 38 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 04 March 2023.
All research outputs
#1,179,007
of 24,920,664 outputs
Outputs from BMC Medical Research Methodology
#126
of 2,223 outputs
Outputs of similar age
#10,494
of 211,467 outputs
Outputs of similar age from BMC Medical Research Methodology
#4
of 22 outputs
Altmetric has tracked 24,920,664 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,223 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 94% 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 211,467 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 95% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.