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Computational modelling of bovine ovarian follicle development

Overview of attention for article published in BMC Systems Biology, July 2013
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Mentioned by

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1 X user

Citations

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12 Dimensions

Readers on

mendeley
35 Mendeley
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1 CiteULike
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Title
Computational modelling of bovine ovarian follicle development
Published in
BMC Systems Biology, July 2013
DOI 10.1186/1752-0509-7-60
Pubmed ID
Authors

Dagmar Iber, Christian De Geyter

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 20%
Student > Ph. D. Student 6 17%
Researcher 5 14%
Student > Bachelor 2 6%
Student > Doctoral Student 2 6%
Other 6 17%
Unknown 7 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 43%
Biochemistry, Genetics and Molecular Biology 5 14%
Computer Science 2 6%
Medicine and Dentistry 2 6%
Mathematics 1 3%
Other 4 11%
Unknown 6 17%
Attention Score in Context

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 20 April 2021.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from BMC Systems Biology
#651
of 1,132 outputs
Outputs of similar age
#130,645
of 206,787 outputs
Outputs of similar age from BMC Systems Biology
#13
of 29 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 31st percentile – i.e., 31% 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 206,787 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.