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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SDM-Assist software to design site-directed mutagenesis primers introducing “silent” restriction sites
|
|---|---|
| Published in |
BMC Bioinformatics, March 2013
|
| DOI | 10.1186/1471-2105-14-105 |
| Pubmed ID | |
| Authors |
Abhijit Karnik, Rucha Karnik, Christopher Grefen |
| Abstract |
Over the past decades site-directed mutagenesis (SDM) has become an indispensable tool for biological structure-function studies. In principle, SDM uses modified primer pairs in a PCR reaction to introduce a mutation in a cDNA insert. DpnI digestion of the reaction mixture is used to eliminate template copies before amplification in E. coli; however, this process is inefficient resulting in un-mutated clones which can only be distinguished from mutant clones by sequencing. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 38% |
| United Kingdom | 2 | 25% |
| Canada | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Unknown | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 67 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 21% |
| Student > Bachelor | 11 | 16% |
| Student > Master | 10 | 15% |
| Researcher | 10 | 15% |
| Professor | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 34% |
| Biochemistry, Genetics and Molecular Biology | 17 | 25% |
| Medicine and Dentistry | 6 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Immunology and Microbiology | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 12 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 14 May 2022.
All research outputs
#3,686,914
of 22,701,287 outputs
Outputs from BMC Bioinformatics
#1,392
of 7,254 outputs
Outputs of similar age
#31,490
of 197,452 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 146 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,254 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 done well, scoring higher than 80% 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 197,452 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.