| Title |
CISI: A Tool for Predicting Cross-interaction or Self-interaction of Monoclonal Antibodies Using Sequences
|
|---|---|
| Published in |
Interdisciplinary Sciences: Computational Life Sciences, May 2019
|
| DOI | 10.1007/s12539-019-00330-1 |
| Pubmed ID | |
| Authors |
Anthony Mackitz Dzisoo, Bifang He, Rita Karikari, Elijah Agoalikum, Jian Huang |
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 | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 27% |
| Student > Ph. D. Student | 2 | 13% |
| Student > Master | 2 | 13% |
| Professor | 1 | 7% |
| Other | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 33% |
| Chemistry | 3 | 20% |
| Agricultural and Biological Sciences | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Immunology and Microbiology | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 27% |
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 31 May 2019.
All research outputs
#14,451,320
of 23,149,216 outputs
Outputs from Interdisciplinary Sciences: Computational Life Sciences
#87
of 297 outputs
Outputs of similar age
#192,424
of 350,389 outputs
Outputs of similar age from Interdisciplinary Sciences: Computational Life Sciences
#1
of 5 outputs
Altmetric has tracked 23,149,216 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 297 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 67% 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 350,389 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them