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Access to non-pecuniary benefits: does gender matter? Evidence from six low- and middle-income countries

Overview of attention for article published in Human Resources for Health, October 2011
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

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7 Dimensions

Readers on

mendeley
53 Mendeley
Title
Access to non-pecuniary benefits: does gender matter? Evidence from six low- and middle-income countries
Published in
Human Resources for Health, October 2011
DOI 10.1186/1478-4491-9-25
Pubmed ID
Authors

Neeru Gupta, Marco Alfano

Abstract

Gender issues remain a neglected area in most approaches to health workforce policy, planning and research. There is an accumulating body of evidence on gender differences in health workers' employment patterns and pay, but inequalities in access to non-pecuniary benefits between men and women have received little attention. This study investigates empirically whether gender differences can be observed in health workers' access to non-pecuniary benefits across six low- and middle-income countries.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 4%
Portugal 1 2%
Unknown 50 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 21%
Student > Master 10 19%
Student > Ph. D. Student 9 17%
Other 7 13%
Student > Bachelor 3 6%
Other 13 25%
Readers by discipline Count As %
Medicine and Dentistry 22 42%
Nursing and Health Professions 11 21%
Social Sciences 9 17%
Unspecified 3 6%
Computer Science 1 2%
Other 7 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 November 2011.
All research outputs
#2,501,111
of 4,701,337 outputs
Outputs from Human Resources for Health
#340
of 385 outputs
Outputs of similar age
#30,893
of 73,842 outputs
Outputs of similar age from Human Resources for Health
#7
of 10 outputs
Altmetric has tracked 4,701,337 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 385 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 4th percentile – i.e., 4% 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 73,842 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.