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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Algorithms as folding: Reframing the analytical focus
|
|---|---|
| Published in |
Big Data & Society, August 2019
|
| DOI | 10.1177/2053951719863819 |
| Authors |
Francis Lee, Jess Bier, Jeffrey Christensen, Lukas Engelmann, Claes-Fredrik Helgesson, Robin Williams |
X Demographics
The data shown below were collected from the profiles of 42 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 | 10 | 24% |
| United States | 3 | 7% |
| Sweden | 3 | 7% |
| France | 3 | 7% |
| Norway | 1 | 2% |
| Canada | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Austria | 1 | 2% |
| South Africa | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 13 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 60% |
| Scientists | 10 | 24% |
| Science communicators (journalists, bloggers, editors) | 5 | 12% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 27% |
| Student > Master | 10 | 16% |
| Researcher | 6 | 10% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 15 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 16 | 26% |
| Business, Management and Accounting | 7 | 11% |
| Design | 3 | 5% |
| Philosophy | 2 | 3% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 12 | 19% |
| Unknown | 20 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 May 2021.
All research outputs
#1,212,589
of 25,413,176 outputs
Outputs from Big Data & Society
#240
of 679 outputs
Outputs of similar age
#25,727
of 359,164 outputs
Outputs of similar age from Big Data & Society
#6
of 13 outputs
Altmetric has tracked 25,413,176 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 679 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.9. This one has gotten more attention than average, scoring higher than 64% 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 359,164 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 92% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.