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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Online division of labour: emergent structures in Open Source Software
|
|---|---|
| Published in |
Scientific Reports, September 2019
|
| DOI | 10.1038/s41598-019-50463-y |
| Pubmed ID | |
| Authors |
María J. Palazzi, Jordi Cabot, Javier Luis Cánovas Izquierdo, Albert Solé-Ribalta, Javier Borge-Holthoefer |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 7 | 50% |
| France | 2 | 14% |
| Luxembourg | 1 | 7% |
| United Kingdom | 1 | 7% |
| Unknown | 3 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 86% |
| Scientists | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 14% |
| Student > Master | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Student > Ph. D. Student | 3 | 9% |
| Professor | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 12 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 20% |
| Engineering | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Business, Management and Accounting | 2 | 6% |
| Psychology | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 15 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 56. 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 24 May 2023.
All research outputs
#715,704
of 24,312,464 outputs
Outputs from Scientific Reports
#7,789
of 132,172 outputs
Outputs of similar age
#16,126
of 349,758 outputs
Outputs of similar age from Scientific Reports
#207
of 3,509 outputs
Altmetric has tracked 24,312,464 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 132,172 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done particularly well, scoring higher than 94% 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 349,758 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 95% of its contemporaries.
We're also able to compare this research output to 3,509 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 94% of its contemporaries.