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Mendeley readers
Attention Score in Context
| Title |
A Novel Antibody Engineering Strategy for Making Monovalent Bispecific Heterodimeric IgG Antibodies by Electrostatic Steering Mechanism*
|
|---|---|
| Published in |
Journal of Biological Chemistry, January 2015
|
| DOI | 10.1074/jbc.m114.620260 |
| Pubmed ID | |
| Authors |
Zhi Liu, Esther C Leng, Kannan Gunasekaran, Martin Pentony, Min Shen, Monique Howard, Janelle Stoops, Kathy Manchulenko, Vladimir Razinkov, Hua Liu, William Fanslow, Zhonghua Hu, Nancy Sun, Haruki Hasegawa, Rutilio Clark, Ian N Foltz, Wei Yan |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Portugal | 1 | <1% |
| Unknown | 136 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 33% |
| Student > Ph. D. Student | 28 | 20% |
| Student > Bachelor | 13 | 9% |
| Student > Master | 12 | 9% |
| Other | 7 | 5% |
| Other | 6 | 4% |
| Unknown | 26 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 30% |
| Biochemistry, Genetics and Molecular Biology | 36 | 26% |
| Medicine and Dentistry | 9 | 7% |
| Engineering | 6 | 4% |
| Computer Science | 4 | 3% |
| Other | 15 | 11% |
| Unknown | 26 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 05 March 2024.
All research outputs
#2,330,169
of 25,374,917 outputs
Outputs from Journal of Biological Chemistry
#1,969
of 85,240 outputs
Outputs of similar age
#31,442
of 359,807 outputs
Outputs of similar age from Journal of Biological Chemistry
#37
of 505 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 85,240 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% 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 359,807 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 91% of its contemporaries.
We're also able to compare this research output to 505 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 92% of its contemporaries.