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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Survey on data science with population-based algorithms
|
|---|---|
| Published in |
Big Data Analytics, July 2016
|
| DOI | 10.1186/s41044-016-0003-3 |
| Authors |
Shi Cheng, Bin Liu, T. O. Ting, Quande Qin, Yuhui Shi, Kaizhu Huang |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 18% |
| Italy | 1 | 9% |
| Belgium | 1 | 9% |
| France | 1 | 9% |
| India | 1 | 9% |
| Oman | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 93 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 20% |
| Student > Master | 13 | 14% |
| Student > Bachelor | 10 | 11% |
| Researcher | 8 | 9% |
| Student > Postgraduate | 4 | 4% |
| Other | 17 | 18% |
| Unknown | 22 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 40% |
| Engineering | 14 | 15% |
| Business, Management and Accounting | 4 | 4% |
| Chemistry | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 27 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 06 May 2017.
All research outputs
#3,654,272
of 22,881,154 outputs
Outputs from Big Data Analytics
#4
of 32 outputs
Outputs of similar age
#65,222
of 351,890 outputs
Outputs of similar age from Big Data Analytics
#2
of 4 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% 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 3.6. This one scored the same or higher as 28 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 351,890 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 81% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.