↓ Skip to main content

Measuring infertility in populations: constructing a standard definition for use with demographic and reproductive health surveys

Overview of attention for article published in Population Health Metrics, August 2012
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 391)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
5 news outlets
twitter
3 X users

Citations

dimensions_citation
90 Dimensions

Readers on

mendeley
227 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
Measuring infertility in populations: constructing a standard definition for use with demographic and reproductive health surveys
Published in
Population Health Metrics, August 2012
DOI 10.1186/1478-7954-10-17
Pubmed ID
Authors

Maya N Mascarenhas, Hoiwan Cheung, Colin D Mathers, Gretchen A Stevens

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nigeria 1 <1%
Unknown 226 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 49 22%
Student > Ph. D. Student 24 11%
Student > Bachelor 21 9%
Researcher 19 8%
Student > Doctoral Student 14 6%
Other 31 14%
Unknown 69 30%
Readers by discipline Count As %
Medicine and Dentistry 45 20%
Social Sciences 25 11%
Nursing and Health Professions 19 8%
Biochemistry, Genetics and Molecular Biology 17 7%
Agricultural and Biological Sciences 14 6%
Other 36 16%
Unknown 71 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 18 August 2021.
All research outputs
#810,783
of 22,675,759 outputs
Outputs from Population Health Metrics
#21
of 391 outputs
Outputs of similar age
#4,574
of 170,107 outputs
Outputs of similar age from Population Health Metrics
#1
of 8 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done particularly well, scoring higher than 94% 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 170,107 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them