You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Random bits regression: a strong general predictor for big data
|
|---|---|
| Published in |
Big Data Analytics, November 2016
|
| DOI | 10.1186/s41044-016-0010-4 |
| Authors |
Yi Wang, Yi Li, Momiao Xiong, Yin Yao Shugart, Li Jin |
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 | 3 | 14% |
| Brazil | 1 | 5% |
| Netherlands | 1 | 5% |
| Australia | 1 | 5% |
| Belgium | 1 | 5% |
| Norway | 1 | 5% |
| Japan | 1 | 5% |
| Unknown | 12 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 95% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 2% |
| Russia | 1 | 2% |
| Japan | 1 | 2% |
| Luxembourg | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 36 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 27% |
| Student > Master | 8 | 20% |
| Other | 6 | 15% |
| Researcher | 4 | 10% |
| Student > Postgraduate | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 46% |
| Engineering | 4 | 10% |
| Agricultural and Biological Sciences | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Mathematics | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 4 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 15 November 2016.
All research outputs
#1,238,298
of 23,904,401 outputs
Outputs from Big Data Analytics
#1
of 32 outputs
Outputs of similar age
#23,822
of 314,654 outputs
Outputs of similar age from Big Data Analytics
#1
of 5 outputs
Altmetric has tracked 23,904,401 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32 research outputs from this source. They receive a mean Attention Score of 3.5. This one scored the same or higher as 31 of them.
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 314,654 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 92% 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