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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using innovation contests to promote the development of generic technologies
|
|---|---|
| Published in |
Technological Forecasting and Social Change, January 2017
|
| DOI | 10.1016/j.techfore.2016.07.035 |
| Authors |
Olga Kokshagina, Thomas Gillier, Patrick Cogez, Pascal Le Masson, Benoit Weil |
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 % |
|---|---|---|
| Unknown | 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 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | <1% |
| Ukraine | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 102 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 15% |
| Student > Master | 15 | 14% |
| Researcher | 11 | 10% |
| Student > Doctoral Student | 11 | 10% |
| Professor | 10 | 10% |
| Other | 27 | 26% |
| Unknown | 15 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 39 | 37% |
| Social Sciences | 11 | 10% |
| Computer Science | 11 | 10% |
| Engineering | 10 | 10% |
| Economics, Econometrics and Finance | 6 | 6% |
| Other | 9 | 9% |
| Unknown | 19 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 29. 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 17 June 2020.
All research outputs
#1,349,141
of 25,713,737 outputs
Outputs from Technological Forecasting and Social Change
#105
of 2,420 outputs
Outputs of similar age
#27,245
of 423,816 outputs
Outputs of similar age from Technological Forecasting and Social Change
#2
of 53 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,420 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has done particularly well, scoring higher than 95% 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 423,816 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 93% of its contemporaries.
We're also able to compare this research output to 53 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 96% of its contemporaries.