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Mendeley readers
Attention Score in Context
Title |
Colony-live — a high-throughput method for measuring microbial colony growth kinetics— reveals diverse growth effects of gene knockouts in Escherichia coli
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Published in |
BMC Microbiology, June 2014
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DOI | 10.1186/1471-2180-14-171 |
Pubmed ID | |
Authors |
Rikiya Takeuchi, Takeyuki Tamura, Toru Nakayashiki, Yuichirou Tanaka, Ai Muto, Barry L Wanner, Hirotada Mori |
Abstract |
Precise quantitative growth measurements and detection of small growth changes in high-throughput manner is essential for fundamental studies of bacterial cell. However, an inherent tradeoff for measurement quality in high-throughput methods sacrifices some measurement quality. A key challenge has been how to enhance measurement quality without sacrificing throughput. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
New Zealand | 1 | <1% |
United States | 1 | <1% |
Sweden | 1 | <1% |
Unknown | 102 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 21% |
Researcher | 20 | 19% |
Student > Master | 18 | 17% |
Student > Bachelor | 6 | 6% |
Other | 6 | 6% |
Other | 13 | 12% |
Unknown | 22 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 39 | 36% |
Biochemistry, Genetics and Molecular Biology | 24 | 22% |
Engineering | 4 | 4% |
Unspecified | 2 | 2% |
Chemical Engineering | 2 | 2% |
Other | 12 | 11% |
Unknown | 24 | 22% |
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 30 June 2014.
All research outputs
#14,197,145
of 22,757,541 outputs
Outputs from BMC Microbiology
#1,444
of 3,184 outputs
Outputs of similar age
#119,934
of 227,902 outputs
Outputs of similar age from BMC Microbiology
#20
of 47 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,184 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 50% 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 227,902 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 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 55% of its contemporaries.