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The dose-response association between LEAP 1000 and birthweight – no clear mechanisms: a structural equation modeling approach

Overview of attention for article published in BMC Pregnancy and Childbirth, May 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
25 Mendeley
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Title
The dose-response association between LEAP 1000 and birthweight – no clear mechanisms: a structural equation modeling approach
Published in
BMC Pregnancy and Childbirth, May 2023
DOI 10.1186/s12884-023-05707-1
Pubmed ID
Authors

Sarah Quinones, Shao Lin, Lili Tian, Pauline Mendola, Jacob Novignon, Clement Adamba, Tia Palermo

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 16%
Lecturer 3 12%
Student > Ph. D. Student 2 8%
Librarian 1 4%
Unspecified 1 4%
Other 0 0%
Unknown 14 56%
Readers by discipline Count As %
Nursing and Health Professions 2 8%
Psychology 2 8%
Economics, Econometrics and Finance 2 8%
Business, Management and Accounting 1 4%
Unspecified 1 4%
Other 3 12%
Unknown 14 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 27 May 2023.
All research outputs
#6,246,788
of 24,505,736 outputs
Outputs from BMC Pregnancy and Childbirth
#1,601
of 4,582 outputs
Outputs of similar age
#100,267
of 369,927 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#25
of 127 outputs
Altmetric has tracked 24,505,736 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,582 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has gotten more attention than average, scoring higher than 65% 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 369,927 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.