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Mendeley readers
Attention Score in Context
| Title |
Deep Panning: Steps towards Probing the IgOme
|
|---|---|
| Published in |
PLOS ONE, August 2012
|
| DOI | 10.1371/journal.pone.0041469 |
| Pubmed ID | |
| Authors |
Arie Ryvkin, Haim Ashkenazy, Larisa Smelyanski, Gilad Kaplan, Osnat Penn, Yael Weiss-Ottolenghi, Eyal Privman, Peter B. Ngam, James E. Woodward, Gregory D. May, Callum Bell, Tal Pupko, Jonathan M. Gershoni |
| Abstract |
Polyclonal serum consists of vast collections of antibodies, products of differentiated B-cells. The spectrum of antibody specificities is dynamic and varies with age, physiology, and exposure to pathological insults. The complete repertoire of antibody specificities in blood, the IgOme, is therefore an extraordinarily rich source of information-a molecular record of previous encounters as well as a status report of current immune activity. The ability to profile antibody specificities of polyclonal serum at exceptionally high resolution has been an important and serious challenge which can now be overcome. |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 3% |
| Japan | 2 | 2% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Unknown | 108 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 28% |
| Student > Ph. D. Student | 22 | 19% |
| Student > Master | 14 | 12% |
| Student > Doctoral Student | 7 | 6% |
| Other | 7 | 6% |
| Other | 20 | 17% |
| Unknown | 13 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 37% |
| Biochemistry, Genetics and Molecular Biology | 21 | 18% |
| Chemistry | 8 | 7% |
| Medicine and Dentistry | 7 | 6% |
| Immunology and Microbiology | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 13 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 28 October 2020.
All research outputs
#4,572,822
of 22,675,759 outputs
Outputs from PLOS ONE
#62,369
of 193,562 outputs
Outputs of similar age
#32,046
of 164,714 outputs
Outputs of similar age from PLOS ONE
#966
of 4,082 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,562 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. 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 164,714 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 80% of its contemporaries.
We're also able to compare this research output to 4,082 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.