You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Immigrants and Italian labor market: statistical or taste-based discrimination?
|
|---|---|
| Published in |
Genus, February 2018
|
| DOI | 10.1186/s41118-018-0030-1 |
| Pubmed ID | |
| Authors |
Giovanni Busetta, Maria Gabriella Campolo, Demetrio Panarello |
| Abstract |
Types of discrimination are usually distinguished by economic theory in statistical and taste-based. Using a correspondence experiment, we analyze which of the two affects Italian labor market the most. In this respect, we studied the difference in discrimination reserved to first- and second-generation immigrants, taking gender differences into account. Even if we want to admit a rational discrimination based on perceived productivity differences (statistical discrimination) against first-generation immigrants (concerning language and education gaps), the same would not be reasonable for second-generation ones. Since they are born and educated in Italy, where they have always lived, the associated discrimination must be taste-based. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 38% |
| Student > Ph. D. Student | 3 | 14% |
| Student > Bachelor | 2 | 10% |
| Other | 2 | 10% |
| Lecturer | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 6 | 29% |
| Business, Management and Accounting | 4 | 19% |
| Economics, Econometrics and Finance | 3 | 14% |
| Computer Science | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 August 2019.
All research outputs
#14,393,794
of 25,382,440 outputs
Outputs from Genus
#126
of 176 outputs
Outputs of similar age
#167,923
of 344,220 outputs
Outputs of similar age from Genus
#4
of 5 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 344,220 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.