In this paper we discuss recent significant developments in the field of venom research, specifically the emergence of top-down proteomic applications that allow achieving compositional resolution at the level of the protein species present in the venom, and the absolute quantification of the venom proteins (the term "protein species" is used here to refer to all the different molecular forms in which a protein can be found. Please consult the special issue of Jornal of Proteomics "Towards deciphering proteomes via the proteoform, protein speciation, moonlighting and protein code concepts" published in 2016, vol. 134, pages 1-202). Challenges remain to be solved in order to achieve a compact and automated platform with which to routinely carry out comprehensive quantitative analysis of all toxins present in a venom. This short essay reflects the authors' view of the immediate future in this direction for the proteomic analysis of venoms, particularly of snakes.
Pharmacology, Toxicology and Pharmaceutical Science
4
6%
Nursing and Health Professions
2
3%
Other
8
12%
Unknown
21
31%
Attention Score in Context
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 September 2021.
All research outputs
#8,695,432
of 27,788,362 outputs
Outputs from Journal of Venomous Animals and Toxins including Tropical Diseases
#151
of 516 outputs
Outputs of similar age
#116,976
of 331,114 outputs
Outputs of similar age from Journal of Venomous Animals and Toxins including Tropical Diseases
#6
of 15 outputs
Altmetric has tracked 27,788,362 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 516 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has gotten more attention than average, scoring higher than 69% 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 331,114 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
