| Title |
Big Data Management: What to Keep from the Past to Face Future Challenges?
|
|---|---|
| Published in |
Data Science and Engineering, August 2017
|
| DOI | 10.1007/s41019-017-0043-3 |
| Authors |
G. Vargas-Solar, J. L. Zechinelli-Martini, J. A. Espinosa-Oviedo |
X Demographics
The data shown below were collected from the profiles of 17 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 | 18% |
| Italy | 2 | 12% |
| United Kingdom | 2 | 12% |
| India | 1 | 6% |
| Canada | 1 | 6% |
| Spain | 1 | 6% |
| Ireland | 1 | 6% |
| Mexico | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 88% |
| Scientists | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 14% |
| Student > Bachelor | 12 | 14% |
| Student > Ph. D. Student | 9 | 11% |
| Researcher | 6 | 7% |
| Student > Doctoral Student | 6 | 7% |
| Other | 13 | 16% |
| Unknown | 25 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 32 | 39% |
| Engineering | 8 | 10% |
| Business, Management and Accounting | 3 | 4% |
| Social Sciences | 2 | 2% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 5 | 6% |
| Unknown | 32 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 21 August 2017.
All research outputs
#2,696,041
of 22,997,544 outputs
Outputs from Data Science and Engineering
#4
of 39 outputs
Outputs of similar age
#52,349
of 318,015 outputs
Outputs of similar age from Data Science and Engineering
#1
of 2 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 39 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one scored the same or higher as 35 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 318,015 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 83% of its contemporaries.
We're also able to compare this research output to 2 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