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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Disulfide by Design 2.0: a web-based tool for disulfide engineering in proteins
|
|---|---|
| Published in |
BMC Bioinformatics, December 2013
|
| DOI | 10.1186/1471-2105-14-346 |
| Pubmed ID | |
| Authors |
Douglas B Craig, Alan A Dombkowski |
| Abstract |
Disulfide engineering is an important biotechnological tool that has advanced a wide range of research. The introduction of novel disulfide bonds into proteins has been used extensively to improve protein stability, modify functional characteristics, and to assist in the study of protein dynamics. Successful use of this technology is greatly enhanced by software that can predict pairs of residues that will likely form a disulfide bond if mutated to cysteines. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Norway | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 352 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Chile | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 348 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 61 | 17% |
| Researcher | 43 | 12% |
| Student > Bachelor | 39 | 11% |
| Student > Master | 35 | 10% |
| Student > Doctoral Student | 17 | 5% |
| Other | 41 | 12% |
| Unknown | 116 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 98 | 28% |
| Agricultural and Biological Sciences | 60 | 17% |
| Chemistry | 15 | 4% |
| Immunology and Microbiology | 13 | 4% |
| Veterinary Science and Veterinary Medicine | 6 | 2% |
| Other | 30 | 9% |
| Unknown | 130 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 31 August 2023.
All research outputs
#1,867,554
of 24,535,155 outputs
Outputs from BMC Bioinformatics
#408
of 7,551 outputs
Outputs of similar age
#21,159
of 318,484 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 105 outputs
Altmetric has tracked 24,535,155 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,551 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 94% 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 318,484 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.