Article
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Attention Score in Context
| Chapter title |
Phenotypic Screening of Small Molecules with Antimalarial Activity for Three Different Parasitic Life Stages
|
|---|---|
| Chapter number | 3 |
| Book title |
Phenotypic Screening
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7847-2_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7846-5, 978-1-4939-7847-2
|
| Authors |
Nobutaka Kato, Sandra March, Sangeeta N. Bhatia, Matthias Marti, Kato, Nobutaka, March, Sandra, Bhatia, Sangeeta N., Marti, Matthias |
| Abstract |
Malaria remains one of the deadliest infectious diseases globally. Available therapeutic agents are already limited in their efficacy, and drug resistance threatens to diminish further our ability to prevent and treat the disease. Despite a renewed effort to identify compounds with antimalarial activity, the drug discovery and development pipeline lacks target diversity and availability of compounds that target liver- and gametocyte-stage parasites. Phenotypic screens are a powerful and valuable tool for identifying new chemical compounds with antimalarial activity. This chapter highlights recent phenotypic screening methodologies for all three parasitic life stages. |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 45% |
| Researcher | 2 | 18% |
| Unspecified | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 1 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Medicine and Dentistry | 2 | 18% |
| Agricultural and Biological Sciences | 1 | 9% |
| Unspecified | 1 | 9% |
| Computer Science | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 February 2019.
All research outputs
#20,522,137
of 23,090,520 outputs
Outputs from Methods in molecular biology
#9,973
of 13,206 outputs
Outputs of similar age
#378,473
of 442,629 outputs
Outputs of similar age from Methods in molecular biology
#1,194
of 1,499 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,206 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 442,629 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.