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The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

Overview of attention for article published in Molecular Medicine, January 2021
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Mentioned by

twitter
2 tweeters

Readers on

mendeley
16 Mendeley
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Title
The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes
Published in
Molecular Medicine, January 2021
DOI 10.1186/s10020-020-00266-z
Pubmed ID
Authors

Agnieszka H. Ludwig-Słomczyńska, Michał T. Seweryn, Przemysław Kapusta, Ewelina Pitera, Urszula Mantaj, Katarzyna Cyganek, Paweł Gutaj, Łucja Dobrucka, Ewa Wender-Ożegowska, Maciej T. Małecki, Paweł P. Wołkow

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Researcher 3 19%
Student > Ph. D. Student 1 6%
Librarian 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 7 44%
Readers by discipline Count As %
Medicine and Dentistry 3 19%
Unspecified 1 6%
Nursing and Health Professions 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 8 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 February 2021.
All research outputs
#15,777,617
of 20,370,630 outputs
Outputs from Molecular Medicine
#776
of 1,016 outputs
Outputs of similar age
#284,208
of 409,088 outputs
Outputs of similar age from Molecular Medicine
#1
of 1 outputs
Altmetric has tracked 20,370,630 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,016 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 409,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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