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Mendeley readers
Attention Score in Context
Title |
iMSAT: a novel approach to the development of microsatellite loci using barcoded Illumina libraries
|
---|---|
Published in |
BMC Genomics, October 2014
|
DOI | 10.1186/1471-2164-15-858 |
Pubmed ID | |
Authors |
Jeremy C Andersen, Nicholas J Mills |
Abstract |
Illumina sequencing with its high number of reads and low per base pair cost is an attractive technology for development of molecular resources for non-model organisms. While many software packages have been developed to identify short tandem repeats (STRs) from next-generation sequencing data, these methods do not inform the investigator as to whether or not candidate loci are polymorphic in their target populations. |
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 % |
---|---|---|
India | 1 | 50% |
Germany | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Czechia | 1 | 3% |
South Africa | 1 | 3% |
Brazil | 1 | 3% |
Unknown | 31 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 32% |
Student > Bachelor | 6 | 18% |
Student > Ph. D. Student | 4 | 12% |
Student > Master | 4 | 12% |
Student > Postgraduate | 2 | 6% |
Other | 3 | 9% |
Unknown | 4 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 47% |
Biochemistry, Genetics and Molecular Biology | 7 | 21% |
Engineering | 2 | 6% |
Computer Science | 2 | 6% |
Business, Management and Accounting | 1 | 3% |
Other | 3 | 9% |
Unknown | 3 | 9% |
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 08 October 2014.
All research outputs
#15,169,543
of 25,374,647 outputs
Outputs from BMC Genomics
#5,391
of 11,244 outputs
Outputs of similar age
#133,215
of 266,281 outputs
Outputs of similar age from BMC Genomics
#128
of 296 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% 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 266,281 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 296 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 53% of its contemporaries.