| Title |
Who gets Horizon 2020 research grants? Propensity to apply and probability to succeed in a two-step analysis
|
|---|---|
| Published in |
Scientometrics, October 2016
|
| DOI | 10.1007/s11192-016-2145-5 |
| Authors |
Simen G. Enger, Fulvio Castellacci |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Researcher | 5 | 11% |
| Student > Master | 5 | 11% |
| Professor | 3 | 7% |
| Professor > Associate Professor | 3 | 7% |
| Other | 10 | 23% |
| Unknown | 9 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 14 | 32% |
| Engineering | 4 | 9% |
| Business, Management and Accounting | 3 | 7% |
| Economics, Econometrics and Finance | 3 | 7% |
| Computer Science | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 11 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 06 November 2016.
All research outputs
#1,845,635
of 23,142,049 outputs
Outputs from Scientometrics
#371
of 2,704 outputs
Outputs of similar age
#34,495
of 320,880 outputs
Outputs of similar age from Scientometrics
#11
of 51 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,704 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. 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 320,880 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 89% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.