↓ Skip to main content

Economic Impact of Maternal Death on Households in Rural China: A Prospective Cohort Study

Overview of attention for article published in PLOS ONE, October 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

policy
2 policy sources
twitter
6 X users

Readers on

mendeley
93 Mendeley
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.
Title
Economic Impact of Maternal Death on Households in Rural China: A Prospective Cohort Study
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0076624
Pubmed ID
Authors

Haijun Wang, Fang Ye, Yan Wang, Dale Huntington

Abstract

To assess the economic impact of maternal death on rural Chinese households during the year after maternal death.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Ethiopia 1 1%
South Africa 1 1%
Unknown 90 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 20%
Student > Bachelor 13 14%
Researcher 7 8%
Student > Doctoral Student 7 8%
Student > Ph. D. Student 7 8%
Other 15 16%
Unknown 25 27%
Readers by discipline Count As %
Medicine and Dentistry 20 22%
Social Sciences 12 13%
Nursing and Health Professions 11 12%
Economics, Econometrics and Finance 7 8%
Business, Management and Accounting 4 4%
Other 11 12%
Unknown 28 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 July 2019.
All research outputs
#3,318,120
of 23,924,386 outputs
Outputs from PLOS ONE
#43,691
of 204,353 outputs
Outputs of similar age
#30,937
of 215,527 outputs
Outputs of similar age from PLOS ONE
#1,020
of 5,112 outputs
Altmetric has tracked 23,924,386 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 204,353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 78% 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 215,527 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 85% of its contemporaries.
We're also able to compare this research output to 5,112 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.