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ScreenMill: A freely available software suite for growth measurement, analysis and visualization of high-throughput screen data

Overview of attention for article published in BMC Bioinformatics, June 2010
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Readers on

mendeley
109 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
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Title
ScreenMill: A freely available software suite for growth measurement, analysis and visualization of high-throughput screen data
Published in
BMC Bioinformatics, June 2010
DOI 10.1186/1471-2105-11-353
Pubmed ID
Authors

John C Dittmar, Robert JD Reid, Rodney Rothstein

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 2 2%
United Kingdom 2 2%
Denmark 2 2%
Australia 1 <1%
France 1 <1%
Spain 1 <1%
Unknown 100 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 30%
Student > Ph. D. Student 31 28%
Student > Master 14 13%
Student > Bachelor 7 6%
Student > Postgraduate 4 4%
Other 14 13%
Unknown 6 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 50%
Biochemistry, Genetics and Molecular Biology 31 28%
Computer Science 5 5%
Engineering 4 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 6 6%
Unknown 6 6%
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 02 January 2020.
All research outputs
#7,475,808
of 22,854,458 outputs
Outputs from BMC Bioinformatics
#3,026
of 7,292 outputs
Outputs of similar age
#33,458
of 93,746 outputs
Outputs of similar age from BMC Bioinformatics
#31
of 67 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,292 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 93,746 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.