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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Choosing the right NoSQL database for the job: a quality attribute evaluation
|
|---|---|
| Published in |
Journal of Big Data, August 2015
|
| DOI | 10.1186/s40537-015-0025-0 |
| Authors |
João Ricardo Lourenço, Bruno Cabral, Paulo Carreiro, Marco Vieira, Jorge Bernardino |
X Demographics
The data shown below were collected from the profiles of 16 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 Kingdom | 3 | 19% |
| Germany | 3 | 19% |
| United States | 2 | 13% |
| Brazil | 1 | 6% |
| Colombia | 1 | 6% |
| Pakistan | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 4 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 88% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 350 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | <1% |
| France | 1 | <1% |
| Ecuador | 1 | <1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Greece | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 342 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 77 | 22% |
| Student > Bachelor | 54 | 15% |
| Student > Ph. D. Student | 45 | 13% |
| Researcher | 19 | 5% |
| Student > Doctoral Student | 13 | 4% |
| Other | 55 | 16% |
| Unknown | 87 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 186 | 53% |
| Engineering | 24 | 7% |
| Business, Management and Accounting | 10 | 3% |
| Agricultural and Biological Sciences | 5 | 1% |
| Unspecified | 5 | 1% |
| Other | 21 | 6% |
| Unknown | 99 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 09 May 2016.
All research outputs
#2,260,229
of 23,577,761 outputs
Outputs from Journal of Big Data
#49
of 356 outputs
Outputs of similar age
#30,403
of 265,829 outputs
Outputs of similar age from Journal of Big Data
#3
of 10 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 86% 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 265,829 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 88% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.