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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can learning health systems help organisations deliver personalised care?
|
|---|---|
| Published in |
BMC Medicine, October 2017
|
| DOI | 10.1186/s12916-017-0935-0 |
| Pubmed ID | |
| Authors |
Bright I. Nwaru, Charles Friedman, John Halamka, Aziz Sheikh |
| Abstract |
There is increasing international policy and clinical interest in developing learning health systems and delivering precision medicine, which it is hoped will help reduce variation in the quality and safety of care, improve efficiency, and lead to increasing the personalisation of healthcare. Although reliant on similar policies, informatics tools, and data science and implementation research capabilities, these two major initiatives have thus far largely progressed in parallel. In this opinion piece, we argue that they should be considered as complementary, synergistic initiatives whereby the creation of learning health systems infrastructure can support and catalyse the delivery of precision medicine that maximises the benefits and minimises the risks associated with treatments for individual patients. We illustrate this synergy by considering the example of treatments for asthma, which is now recognised as an umbrella term for a heterogeneous group of related conditions. |
X Demographics
The data shown below were collected from the profiles of 20 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 | 8 | 40% |
| United States | 3 | 15% |
| Spain | 2 | 10% |
| Colombia | 1 | 5% |
| Austria | 1 | 5% |
| Unknown | 5 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 55% |
| Scientists | 7 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 18% |
| Student > Master | 13 | 14% |
| Researcher | 12 | 13% |
| Student > Doctoral Student | 4 | 4% |
| Professor | 4 | 4% |
| Other | 15 | 16% |
| Unknown | 29 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 20% |
| Computer Science | 6 | 6% |
| Nursing and Health Professions | 6 | 6% |
| Economics, Econometrics and Finance | 4 | 4% |
| Social Sciences | 4 | 4% |
| Other | 18 | 19% |
| Unknown | 37 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 30 January 2019.
All research outputs
#2,338,544
of 23,003,906 outputs
Outputs from BMC Medicine
#1,501
of 3,455 outputs
Outputs of similar age
#47,581
of 322,939 outputs
Outputs of similar age from BMC Medicine
#13
of 43 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.6. This one has gotten more attention than average, scoring higher than 56% 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 322,939 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.