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Deciphering disparities in childhood stunting in an underdeveloped state of India: an investigation applying the unconditional quantile regression method

Overview of attention for article published in BMC Public Health, October 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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10 X users

Citations

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2 Dimensions

Readers on

mendeley
65 Mendeley
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Title
Deciphering disparities in childhood stunting in an underdeveloped state of India: an investigation applying the unconditional quantile regression method
Published in
BMC Public Health, October 2020
DOI 10.1186/s12889-020-09559-8
Pubmed ID
Authors

Saswata Ghosh, Santosh Kumar Sharma, Debarshi Bhattacharya

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 9 14%
Student > Ph. D. Student 5 8%
Researcher 4 6%
Student > Master 4 6%
Student > Bachelor 3 5%
Other 6 9%
Unknown 34 52%
Readers by discipline Count As %
Nursing and Health Professions 9 14%
Medicine and Dentistry 9 14%
Economics, Econometrics and Finance 4 6%
Business, Management and Accounting 3 5%
Engineering 2 3%
Other 3 5%
Unknown 35 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 October 2020.
All research outputs
#4,124,906
of 22,799,071 outputs
Outputs from BMC Public Health
#4,637
of 14,855 outputs
Outputs of similar age
#103,305
of 414,316 outputs
Outputs of similar age from BMC Public Health
#107
of 324 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 68% 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 414,316 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 75% of its contemporaries.
We're also able to compare this research output to 324 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.