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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey
|
|---|---|
| Published in |
Artificial Intelligence Review, January 2019
|
| DOI | 10.1007/s10462-018-09679-z |
| Authors |
Giang Nguyen, Stefan Dlugolinsky, Martin Bobák, Viet Tran, Álvaro López García, Ignacio Heredia, Peter Malík, Ladislav Hluchý |
X Demographics
The data shown below were collected from the profiles of 254 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 | 26 | 10% |
| India | 18 | 7% |
| Spain | 13 | 5% |
| Nigeria | 9 | 4% |
| United Kingdom | 7 | 3% |
| Brazil | 5 | 2% |
| France | 5 | 2% |
| Germany | 5 | 2% |
| Kenya | 4 | 2% |
| Other | 46 | 18% |
| Unknown | 116 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 218 | 86% |
| Scientists | 31 | 12% |
| Science communicators (journalists, bloggers, editors) | 3 | 1% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,774 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1774 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 188 | 11% |
| Lecturer | 149 | 8% |
| Student > Ph. D. Student | 148 | 8% |
| Student > Bachelor | 128 | 7% |
| Researcher | 93 | 5% |
| Other | 247 | 14% |
| Unknown | 821 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 459 | 26% |
| Engineering | 227 | 13% |
| Unspecified | 28 | 2% |
| Social Sciences | 27 | 2% |
| Business, Management and Accounting | 25 | 1% |
| Other | 161 | 9% |
| Unknown | 847 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 182. 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 02 March 2024.
All research outputs
#227,011
of 25,904,557 outputs
Outputs from Artificial Intelligence Review
#3
of 867 outputs
Outputs of similar age
#4,868
of 449,744 outputs
Outputs of similar age from Artificial Intelligence Review
#1
of 7 outputs
Altmetric has tracked 25,904,557 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 867 research outputs from this source. They receive a mean Attention Score of 4.1. 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 449,744 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 98% of its contemporaries.
We're also able to compare this research output to 7 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