| Title |
Exploratory computing: a comprehensive approach to data sensemaking
|
|---|---|
| Published in |
International Journal of Data Science and Analytics, December 2016
|
| DOI | 10.1007/s41060-016-0039-5 |
| Authors |
Nicoletta Di Blas, Mirjana Mazuran, Paolo Paolini, Elisa Quintarelli, Letizia Tanca |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | <1% |
| Unknown | 123 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 6% |
| Student > Master | 4 | 3% |
| Other | 2 | 2% |
| Student > Ph. D. Student | 1 | <1% |
| Professor | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 107 | 86% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 6% |
| Engineering | 4 | 3% |
| Agricultural and Biological Sciences | 1 | <1% |
| Chemical Engineering | 1 | <1% |
| Materials Science | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 108 | 87% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 January 2017.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from International Journal of Data Science and Analytics
#110
of 253 outputs
Outputs of similar age
#267,267
of 421,931 outputs
Outputs of similar age from International Journal of Data Science and Analytics
#4
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 253 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 421,931 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
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.