| Title |
Big data in healthcare: management, analysis and future prospects
|
|---|---|
| Published in |
Journal of Big Data, June 2019
|
| DOI | 10.1186/s40537-019-0217-0 |
| Authors |
Sabyasachi Dash, Sushil Kumar Shakyawar, Mohit Sharma, Sandeep Kaushik |
X Demographics
The data shown below were collected from the profiles of 66 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 | 7 | 11% |
| United Kingdom | 6 | 9% |
| India | 4 | 6% |
| Canada | 2 | 3% |
| Portugal | 2 | 3% |
| Belarus | 1 | 2% |
| Romania | 1 | 2% |
| France | 1 | 2% |
| Netherlands | 1 | 2% |
| Other | 9 | 14% |
| Unknown | 32 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 60 | 91% |
| Practitioners (doctors, other healthcare professionals) | 3 | 5% |
| Scientists | 2 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,436 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2436 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 293 | 12% |
| Student > Bachelor | 186 | 8% |
| Student > Ph. D. Student | 185 | 8% |
| Researcher | 120 | 5% |
| Lecturer | 96 | 4% |
| Other | 354 | 15% |
| Unknown | 1202 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 295 | 12% |
| Engineering | 133 | 5% |
| Medicine and Dentistry | 125 | 5% |
| Business, Management and Accounting | 119 | 5% |
| Nursing and Health Professions | 94 | 4% |
| Other | 414 | 17% |
| Unknown | 1256 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 103. 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 21 January 2024.
All research outputs
#419,489
of 25,757,133 outputs
Outputs from Journal of Big Data
#3
of 397 outputs
Outputs of similar age
#8,702
of 368,571 outputs
Outputs of similar age from Journal of Big Data
#1
of 25 outputs
Altmetric has tracked 25,757,133 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. 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 368,571 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 97% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.