| Title |
Big data analytics in healthcare: promise and potential
|
|---|---|
| Published in |
Health Information Science and Systems, February 2014
|
| DOI | 10.1186/2047-2501-2-3 |
| Pubmed ID | |
| Authors |
Wullianallur Raghupathi, Viju Raghupathi |
| Abstract |
To describe the promise and potential of big data analytics in healthcare. The paper describes the nascent field of big data analytics in healthcare, discusses the benefits, outlines an architectural framework and methodology, describes examples reported in the literature, briefly discusses the challenges, and offers conclusions. The paper provides a broad overview of big data analytics for healthcare researchers and practitioners. Big data analytics in healthcare is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs. Its potential is great; however there remain challenges to overcome. |
X Demographics
The data shown below were collected from the profiles of 69 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 | 13% |
| Spain | 6 | 9% |
| United Kingdom | 4 | 6% |
| Kenya | 3 | 4% |
| India | 3 | 4% |
| Canada | 1 | 1% |
| Germany | 1 | 1% |
| Lithuania | 1 | 1% |
| China | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 35 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 57 | 83% |
| Practitioners (doctors, other healthcare professionals) | 7 | 10% |
| Scientists | 3 | 4% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 3,771 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | <1% |
| United Kingdom | 10 | <1% |
| Canada | 6 | <1% |
| Spain | 5 | <1% |
| Brazil | 5 | <1% |
| Austria | 4 | <1% |
| Germany | 4 | <1% |
| India | 3 | <1% |
| Denmark | 2 | <1% |
| Other | 20 | <1% |
| Unknown | 3696 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 770 | 20% |
| Student > Ph. D. Student | 552 | 15% |
| Student > Bachelor | 415 | 11% |
| Researcher | 361 | 10% |
| Student > Doctoral Student | 186 | 5% |
| Other | 602 | 16% |
| Unknown | 885 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 959 | 25% |
| Medicine and Dentistry | 358 | 9% |
| Business, Management and Accounting | 304 | 8% |
| Engineering | 298 | 8% |
| Nursing and Health Professions | 154 | 4% |
| Other | 679 | 18% |
| Unknown | 1019 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 205. 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 24 October 2023.
All research outputs
#193,756
of 25,643,886 outputs
Outputs from Health Information Science and Systems
#1
of 112 outputs
Outputs of similar age
#1,725
of 323,795 outputs
Outputs of similar age from Health Information Science and Systems
#1
of 3 outputs
Altmetric has tracked 25,643,886 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 112 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 99% 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 323,795 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 99% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them