| Title |
Big Data and discrimination: perils, promises and solutions. A systematic review
|
|---|---|
| Published in |
Journal of Big Data, February 2019
|
| DOI | 10.1186/s40537-019-0177-4 |
| Authors |
Maddalena Favaretto, Eva De Clercq, Bernice Simone Elger |
X Demographics
The data shown below were collected from the profiles of 26 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 | 5 | 19% |
| Switzerland | 4 | 15% |
| Peru | 1 | 4% |
| Spain | 1 | 4% |
| Germany | 1 | 4% |
| Australia | 1 | 4% |
| Czechia | 1 | 4% |
| Netherlands | 1 | 4% |
| Italy | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 8 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 73% |
| Scientists | 6 | 23% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 342 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 342 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 53 | 15% |
| Student > Bachelor | 32 | 9% |
| Student > Ph. D. Student | 30 | 9% |
| Researcher | 29 | 8% |
| Student > Doctoral Student | 18 | 5% |
| Other | 47 | 14% |
| Unknown | 133 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 51 | 15% |
| Computer Science | 41 | 12% |
| Business, Management and Accounting | 39 | 11% |
| Engineering | 22 | 6% |
| Nursing and Health Professions | 6 | 2% |
| Other | 40 | 12% |
| Unknown | 143 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 94. 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 10 April 2023.
All research outputs
#452,699
of 25,483,400 outputs
Outputs from Journal of Big Data
#6
of 393 outputs
Outputs of similar age
#10,471
of 446,842 outputs
Outputs of similar age from Journal of Big Data
#2
of 23 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 393 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 particularly well, scoring higher than 98% 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 446,842 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 97% of its contemporaries.
We're also able to compare this research output to 23 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 95% of its contemporaries.