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Which growth standards should be used to identify large- and small-for-gestational age infants of mothers with type 1 diabetes? A pre-specified analysis of the CONCEPTT trial

Overview of attention for article published in BMC Pregnancy and Childbirth, January 2021
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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)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
9 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
104 Mendeley
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Title
Which growth standards should be used to identify large- and small-for-gestational age infants of mothers with type 1 diabetes? A pre-specified analysis of the CONCEPTT trial
Published in
BMC Pregnancy and Childbirth, January 2021
DOI 10.1186/s12884-021-03554-6
Pubmed ID
Authors

Claire L. Meek, Rosa Corcoy, Elizabeth Asztalos, Laura C. Kusinski, Esther López, Denice S. Feig, Helen R. Murphy

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 9%
Unspecified 7 7%
Student > Postgraduate 6 6%
Researcher 5 5%
Lecturer 3 3%
Other 13 13%
Unknown 61 59%
Readers by discipline Count As %
Nursing and Health Professions 16 15%
Medicine and Dentistry 10 10%
Unspecified 7 7%
Biochemistry, Genetics and Molecular Biology 3 3%
Engineering 2 2%
Other 6 6%
Unknown 60 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 15 February 2021.
All research outputs
#2,841,483
of 25,732,188 outputs
Outputs from BMC Pregnancy and Childbirth
#767
of 4,850 outputs
Outputs of similar age
#78,985
of 537,203 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#24
of 136 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,850 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done well, scoring higher than 84% 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 537,203 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 136 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.