Report for: Structure-based drug designing and immunoinformatics approach for SARS-CoV-2

Title	Structure-based drug designing and immunoinformatics approach for SARS-CoV-2
Published in	Science Advances, July 2020
DOI	10.1126/sciadv.abb8097
Pubmed ID	32691011
Authors	Pritam Kumar Panda, Murugan Natarajan Arul, Paritosh Patel, Suresh K. Verma, Wei Luo, Horst-Günter Rubahn, Yogendra Kumar Mishra, Mrutyunjay Suar, Rajeev Ahuja

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Twitter Demographics

The data shown below were collected from the profiles of 369 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
India	77	21%
United States	26	7%
United Kingdom	13	4%
Brazil	6	2%
Canada	4	1%
Turkey	3	<1%
Japan	3	<1%
Australia	2	<1%
Germany	2	<1%
Other	29	8%
Unknown	204	55%

Demographic breakdown

Type	Count	As %
Members of the public	299	81%
Scientists	62	17%
Practitioners (doctors, other healthcare professionals)	4	1%
Science communicators (journalists, bloggers, editors)	4	1%

Mendeley readers

The data shown below were compiled from readership statistics for 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
Unknown	249	100%

Demographic breakdown

Readers by professional status	Count	As %
Student > Master	34	14%
Researcher	32	13%
Student > Bachelor	27	11%
Student > Ph. D. Student	25	10%
Other	16	6%
Other	38	15%
Unknown	77	31%

Readers by discipline	Count	As %
Biochemistry, Genetics and Molecular Biology	37	15%
Chemistry	27	11%
Medicine and Dentistry	15	6%
Pharmacology, Toxicology and Pharmaceutical Science	12	5%
Agricultural and Biological Sciences	11	4%
Other	56	22%
Unknown	91	37%

Attention Score in Context

This research output has an Altmetric Attention Score of 300. 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 08 April 2022.

All research outputs

#100,260

of 23,406,603 outputs

Outputs from Science Advances

#934

of 10,217 outputs

Outputs of similar age

#3,634

of 398,168 outputs

Outputs of similar age from Science Advances

#50

of 565 outputs

Altmetric has tracked 23,406,603 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.

So far Altmetric has tracked 10,217 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 122.0. This one has done particularly well, scoring higher than 90% 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 398,168 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 99% of its contemporaries.

We're also able to compare this research output to 565 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 91% of its contemporaries.

Science Advances

Article Metrics

Structure-based drug designing and immunoinformatics approach for SARS-CoV-2

About this Attention Score

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Readers on

Twitter Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context