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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A review of data mining using big data in health informatics
|
|---|---|
| Published in |
Journal of Big Data, June 2014
|
| DOI | 10.1186/2196-1115-1-2 |
| Authors |
Matthew Herland, Taghi M Khoshgoftaar, Randall Wald |
X Demographics
The data shown below were collected from the profiles of 21 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 | 5 | 24% |
| Spain | 3 | 14% |
| United Kingdom | 2 | 10% |
| France | 2 | 10% |
| Ecuador | 1 | 5% |
| Italy | 1 | 5% |
| Ireland | 1 | 5% |
| India | 1 | 5% |
| Unknown | 5 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 81% |
| Scientists | 3 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 644 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | <1% |
| United Kingdom | 3 | <1% |
| Indonesia | 2 | <1% |
| Portugal | 2 | <1% |
| India | 2 | <1% |
| Hong Kong | 1 | <1% |
| Australia | 1 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Other | 7 | 1% |
| Unknown | 618 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 145 | 23% |
| Student > Ph. D. Student | 134 | 21% |
| Researcher | 75 | 12% |
| Student > Bachelor | 44 | 7% |
| Student > Postgraduate | 29 | 5% |
| Other | 122 | 19% |
| Unknown | 95 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 247 | 38% |
| Engineering | 51 | 8% |
| Medicine and Dentistry | 48 | 7% |
| Business, Management and Accounting | 39 | 6% |
| Agricultural and Biological Sciences | 26 | 4% |
| Other | 97 | 15% |
| Unknown | 136 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 13 February 2023.
All research outputs
#859,218
of 25,732,188 outputs
Outputs from Journal of Big Data
#19
of 397 outputs
Outputs of similar age
#8,015
of 243,746 outputs
Outputs of similar age from Journal of Big Data
#1
of 5 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th 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 11.6. This one has done particularly well, scoring higher than 95% 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 243,746 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 96% of its contemporaries.
We're also able to compare this research output to 5 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