| Title |
Youth development in India: does poverty matter?
|
|---|---|
| Published in |
SpringerPlus, October 2015
|
| DOI | 10.1186/s40064-015-1410-z |
| Pubmed ID | |
| Authors |
Bijaya Kumar Malik |
| Abstract |
This paper explores the differentials in youth development patterns determined by the economic condition of the household in India. The wealth index is used to glean youth development differentials in the different economic categories of the household. The findings suggest that youth from the bottom 20 per cent (poorest) of households are deprived in education, employment, labour force and are not working currently compared to youth from the middle and rich households. The states differ in youth development patterns (employment, appropriate education, skill development and awareness about health). There are more working youth among poor households than among rich households in India. Female youth are more disadvantaged compared to male youth and it is the same with the rural-urban distribution of youth. This paper concludes that the various economic categories/wealth index (poorest, poorer, middle, richer and richest) directly determine the pattern of youth development in India. |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 8 | 44% |
| Unknown | 10 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 94% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 19% |
| Student > Doctoral Student | 7 | 15% |
| Student > Master | 7 | 15% |
| Researcher | 4 | 9% |
| Student > Postgraduate | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 15 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 11 | 23% |
| Economics, Econometrics and Finance | 6 | 13% |
| Arts and Humanities | 4 | 9% |
| Business, Management and Accounting | 3 | 6% |
| Environmental Science | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 18 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 01 August 2020.
All research outputs
#2,036,804
of 22,831,537 outputs
Outputs from SpringerPlus
#125
of 1,850 outputs
Outputs of similar age
#30,591
of 279,238 outputs
Outputs of similar age from SpringerPlus
#14
of 127 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,850 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 93% of its peers.
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We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.