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An efficient strategy for cell-based antibody library selection using an integrated vector system

Overview of attention for article published in BMC Biotechnology, January 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
60 Mendeley
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Title
An efficient strategy for cell-based antibody library selection using an integrated vector system
Published in
BMC Biotechnology, January 2012
DOI 10.1186/1472-6750-12-62
Pubmed ID
Authors

Hyerim Yoon, Jin Song, Chun Ryu, Yeon-Gu Kim, Eun Lee, Sunghyun Kang, Sang Kim

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 35%
Student > Ph. D. Student 11 18%
Student > Master 7 12%
Student > Bachelor 6 10%
Other 4 7%
Other 8 13%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 33%
Biochemistry, Genetics and Molecular Biology 19 32%
Immunology and Microbiology 6 10%
Engineering 3 5%
Unspecified 3 5%
Other 5 8%
Unknown 4 7%

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 01 November 2018.
All research outputs
#3,350,010
of 11,834,873 outputs
Outputs from BMC Biotechnology
#257
of 670 outputs
Outputs of similar age
#98,516
of 266,746 outputs
Outputs of similar age from BMC Biotechnology
#2
of 4 outputs
Altmetric has tracked 11,834,873 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 670 research outputs from this source. They receive a mean Attention Score of 4.8. 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 266,746 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
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 2 of them.