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Association between CFL1gene polymorphisms and spina bifida risk in a California population

Overview of attention for article published in BMC Medical Genomics, March 2007
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Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
27 Mendeley
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Title
Association between CFL1gene polymorphisms and spina bifida risk in a California population
Published in
BMC Medical Genomics, March 2007
DOI 10.1186/1471-2350-8-12
Pubmed ID
Authors

Huiping Zhu, James O Ebot Enaw, Chen Ma, Gary M Shaw, Edward J Lammer, Richard H Finnell

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Student > Bachelor 4 15%
Student > Master 4 15%
Student > Doctoral Student 2 7%
Professor > Associate Professor 2 7%
Other 3 11%
Unknown 7 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 30%
Biochemistry, Genetics and Molecular Biology 4 15%
Medicine and Dentistry 4 15%
Nursing and Health Professions 1 4%
Environmental Science 1 4%
Other 2 7%
Unknown 7 26%
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 30 April 2009.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#637
of 2,444 outputs
Outputs of similar age
#31,916
of 89,168 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 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 89,168 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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