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Mapping the rapid expansion of India’s medical education sector: planning for the future

Overview of attention for article published in BMC Medical Education, December 2014
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Title
Mapping the rapid expansion of India’s medical education sector: planning for the future
Published in
BMC Medical Education, December 2014
DOI 10.1186/s12909-014-0266-1
Pubmed ID
Authors

Yogesh Sabde, Vishal Diwan, Ayesha De Costa, Vijay K Mahadik

Abstract

BackgroundIndia has witnessed rapid growth in its number of medical schools over the last few decades, particularly in recent years. One dominant feature of this growth has been expansion in the private medical education sector. At this point it is relevant to trace historically and geographically the changing role of public and private sectors in Indian medical education system.MethodsThe information on medical schools and sociodemographic indicators at provincial, district and sub-district (taluks) level were retrieved from available online databases. A digital map of medical schools was plotted on a geo-referenced map of India. The growth of medical schools in public and private sectors was tracked over last seven decades using line diagrams and thematic maps. The growth of medical schools in context of geographic distribution and access across the poorer and relatively richer provinces as well as the country¿s districts and taluks was explored using geographic information system. Finally candidate geographic areas, identified for intervention from equity perspective were plotted on the map of India.ResultsThe study presents findings of 355 medical schools in India that enrolled 44250 students in 2012. Private sector owned 195(54.9%) schools and enrolled 24205(54.7%) students in the same year. The 18 poorly performing provinces (population 620 million, 51.3%) had only 94 (26.5%) medical schools. The presence of the private sector was significantly lower in poorly performing provinces where it owned 38 (40.4%) medical schools as compared to 157 (60.2%) schools in better performing provinces. The distances to medical schools from taluks in poorly performing provinces were longer [median 65.1 kilometres (km)] than from taluks in better performing provinces (median 41.2 km). Taluks farthest from a medical school were, situated in economically poorer districts with poor health indicators, a lower standard of living index and low levels of urbanization.ConclusionsThe distribution of medical schools in India is skewed in the favour of areas (provinces, districts and taluks) with better indicators of health, urbanization, standards of living and economic prosperity. This particular distribution was most evident in the case of private sector schools set up in recent decades.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 2%
United States 1 2%
India 1 2%
Unknown 59 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 24%
Student > Master 9 15%
Student > Ph. D. Student 7 11%
Student > Bachelor 6 10%
Student > Doctoral Student 3 5%
Other 8 13%
Unknown 14 23%
Readers by discipline Count As %
Medicine and Dentistry 16 26%
Social Sciences 7 11%
Business, Management and Accounting 3 5%
Psychology 3 5%
Nursing and Health Professions 3 5%
Other 11 18%
Unknown 19 31%
Attention Score in Context

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 23 January 2021.
All research outputs
#15,313,289
of 22,775,504 outputs
Outputs from BMC Medical Education
#2,257
of 3,308 outputs
Outputs of similar age
#195,852
of 331,266 outputs
Outputs of similar age from BMC Medical Education
#38
of 54 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 21st percentile – i.e., 21% 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 331,266 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.