↓ Skip to main content

Phenotypic and genetic variation in the response of chickens to Eimeria tenella induced coccidiosis

Overview of attention for article published in Genetics Selection Evolution, November 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
44 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
Phenotypic and genetic variation in the response of chickens to Eimeria tenella induced coccidiosis
Published in
Genetics Selection Evolution, November 2018
DOI 10.1186/s12711-018-0433-7
Pubmed ID
Authors

Kay Boulton, Matthew J. Nolan, Zhiguang Wu, Androniki Psifidi, Valentina Riggio, Kimberley Harman, Stephen C. Bishop, Pete Kaiser, Mitchell S. Abrahamsen, Rachel Hawken, Kellie A. Watson, Fiona M. Tomley, Damer P. Blake, David A. Hume

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 16%
Student > Master 6 14%
Researcher 6 14%
Student > Ph. D. Student 6 14%
Other 3 7%
Other 3 7%
Unknown 13 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 23%
Veterinary Science and Veterinary Medicine 6 14%
Biochemistry, Genetics and Molecular Biology 6 14%
Social Sciences 2 5%
Immunology and Microbiology 1 2%
Other 2 5%
Unknown 17 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 June 2019.
All research outputs
#15,745,807
of 25,385,509 outputs
Outputs from Genetics Selection Evolution
#470
of 821 outputs
Outputs of similar age
#245,963
of 445,960 outputs
Outputs of similar age from Genetics Selection Evolution
#15
of 21 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 41st percentile – i.e., 41% 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 445,960 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.