| Title |
A survey on data‐efficient algorithms in big data era
|
|---|---|
| Published in |
Journal of Big Data, January 2021
|
| DOI | 10.1186/s40537-021-00419-9 |
| Authors |
Amina Adadi |
X Demographics
The data shown below were collected from the profiles of 116 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 | 13 | 11% |
| United Kingdom | 7 | 6% |
| India | 5 | 4% |
| France | 5 | 4% |
| Germany | 5 | 4% |
| Switzerland | 3 | 3% |
| Mexico | 3 | 3% |
| Brazil | 3 | 3% |
| Nigeria | 3 | 3% |
| Other | 22 | 19% |
| Unknown | 47 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 105 | 91% |
| Scientists | 10 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 241 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 15% |
| Student > Master | 18 | 7% |
| Student > Bachelor | 16 | 7% |
| Researcher | 14 | 6% |
| Lecturer | 10 | 4% |
| Other | 31 | 13% |
| Unknown | 117 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 58 | 24% |
| Engineering | 27 | 11% |
| Unspecified | 6 | 2% |
| Medicine and Dentistry | 4 | 2% |
| Agricultural and Biological Sciences | 4 | 2% |
| Other | 22 | 9% |
| Unknown | 120 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 75. 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 16 December 2022.
All research outputs
#583,378
of 25,809,966 outputs
Outputs from Journal of Big Data
#12
of 397 outputs
Outputs of similar age
#17,023
of 535,474 outputs
Outputs of similar age from Journal of Big Data
#1
of 23 outputs
Altmetric has tracked 25,809,966 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th 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 96% 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 535,474 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 23 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 95% of its contemporaries.