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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The generation of antibody diversity through somatic hypermutation and class switch recombination
|
|---|---|
| Published in |
Genes & Development, January 2004
|
| DOI | 10.1101/gad.1161904 |
| Pubmed ID | |
| Authors |
Ziqiang Li, Caroline J Woo, Maria D Iglesias-Ussel, Diana Ronai, Matthew D Scharff |
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% |
| Unknown | 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 417 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 6 | 1% |
| United States | 4 | <1% |
| Belgium | 3 | <1% |
| Sweden | 2 | <1% |
| India | 2 | <1% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| Costa Rica | 1 | <1% |
| Canada | 1 | <1% |
| Other | 5 | 1% |
| Unknown | 391 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 96 | 23% |
| Researcher | 63 | 15% |
| Student > Bachelor | 62 | 15% |
| Student > Master | 51 | 12% |
| Student > Doctoral Student | 21 | 5% |
| Other | 58 | 14% |
| Unknown | 66 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 154 | 37% |
| Biochemistry, Genetics and Molecular Biology | 82 | 20% |
| Immunology and Microbiology | 44 | 11% |
| Medicine and Dentistry | 29 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 2% |
| Other | 31 | 7% |
| Unknown | 68 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 21 November 2023.
All research outputs
#2,312,928
of 23,572,442 outputs
Outputs from Genes & Development
#645
of 5,880 outputs
Outputs of similar age
#5,527
of 135,142 outputs
Outputs of similar age from Genes & Development
#3
of 33 outputs
Altmetric has tracked 23,572,442 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 5,880 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done well, scoring higher than 88% 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 135,142 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 95% of its contemporaries.
We're also able to compare this research output to 33 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.