↓ Skip to main content

Sequence variants in oxytocin pathway genes and preterm birth: a candidate gene association study

Overview of attention for article published in BMC Medical Genomics, July 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
92 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
Sequence variants in oxytocin pathway genes and preterm birth: a candidate gene association study
Published in
BMC Medical Genomics, July 2013
DOI 10.1186/1471-2350-14-77
Pubmed ID
Authors

Jinsil Kim, Kara J Stirling, Margaret E Cooper, Mario Ascoli, Allison M Momany, Erin L McDonald, Kelli K Ryckman, Lindsey Rhea, Kendra L Schaa, Viviana Cosentino, Enrique Gadow, Cesar Saleme, Min Shi, Mikko Hallman, Jevon Plunkett, Kari A Teramo, Louis J Muglia, Bjarke Feenstra, Frank Geller, Heather A Boyd, Mads Melbye, Mary L Marazita, John M Dagle, Jeffrey C Murray

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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
United States 1 1%
Canada 1 1%
Brazil 1 1%
Unknown 88 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 15%
Researcher 11 12%
Student > Master 11 12%
Student > Bachelor 11 12%
Student > Postgraduate 6 7%
Other 22 24%
Unknown 17 18%
Readers by discipline Count As %
Medicine and Dentistry 22 24%
Biochemistry, Genetics and Molecular Biology 11 12%
Agricultural and Biological Sciences 10 11%
Nursing and Health Professions 5 5%
Psychology 4 4%
Other 20 22%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 December 2013.
All research outputs
#14,388,554
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#864
of 2,444 outputs
Outputs of similar age
#108,476
of 209,857 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 18 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 63% 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 209,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.