Title |
A bibliometric approach to tracking big data research trends
|
---|---|
Published in |
Journal of Big Data, September 2017
|
DOI | 10.1186/s40537-017-0088-1 |
Authors |
Ali Kalantari, Amirrudin Kamsin, Halim Shukri Kamaruddin, Nader Ale Ebrahim, Abdullah Gani, Ali Ebrahimi, Shahaboddin Shamshirband |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 2 | 10% |
Greece | 2 | 10% |
Spain | 2 | 10% |
United States | 1 | 5% |
Indonesia | 1 | 5% |
Ukraine | 1 | 5% |
Australia | 1 | 5% |
Ecuador | 1 | 5% |
Finland | 1 | 5% |
Other | 0 | 0% |
Unknown | 8 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 85% |
Scientists | 2 | 10% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 228 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 34 | 15% |
Student > Master | 26 | 11% |
Researcher | 17 | 7% |
Lecturer | 12 | 5% |
Student > Doctoral Student | 11 | 5% |
Other | 46 | 20% |
Unknown | 82 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 29 | 13% |
Computer Science | 27 | 12% |
Social Sciences | 21 | 9% |
Engineering | 16 | 7% |
Economics, Econometrics and Finance | 10 | 4% |
Other | 37 | 16% |
Unknown | 88 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 03 February 2023.
All research outputs
#1,614,942
of 24,187,594 outputs
Outputs from Journal of Big Data
#39
of 366 outputs
Outputs of similar age
#32,776
of 324,611 outputs
Outputs of similar age from Journal of Big Data
#2
of 11 outputs
Altmetric has tracked 24,187,594 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 366 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 well, scoring higher than 89% 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 324,611 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 89% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.