Title |
India nudges to contain COVID-19 pandemic: A reactive public policy analysis using machine-learning based topic modelling
|
---|---|
Published in |
PLOS ONE, September 2020
|
DOI | 10.1371/journal.pone.0238972 |
Pubmed ID | |
Authors |
Ramit Debnath, Ronita Bardhan |
X Demographics
The data shown below were collected from the profiles of 115 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 23 | 20% |
United Kingdom | 13 | 11% |
United States | 5 | 4% |
Australia | 3 | 3% |
Canada | 2 | 2% |
Turkey | 2 | 2% |
Cuba | 2 | 2% |
Mauritius | 2 | 2% |
Switzerland | 2 | 2% |
Other | 19 | 17% |
Unknown | 42 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 104 | 90% |
Scientists | 9 | 8% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 373 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 373 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 33 | 9% |
Researcher | 31 | 8% |
Student > Ph. D. Student | 30 | 8% |
Lecturer | 27 | 7% |
Other | 20 | 5% |
Other | 75 | 20% |
Unknown | 157 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 34 | 9% |
Medicine and Dentistry | 33 | 9% |
Computer Science | 20 | 5% |
Business, Management and Accounting | 18 | 5% |
Economics, Econometrics and Finance | 12 | 3% |
Other | 81 | 22% |
Unknown | 175 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 296. 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 17 September 2022.
All research outputs
#118,930
of 25,564,614 outputs
Outputs from PLOS ONE
#1,857
of 222,902 outputs
Outputs of similar age
#3,732
of 426,784 outputs
Outputs of similar age from PLOS ONE
#35
of 2,877 outputs
Altmetric has tracked 25,564,614 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 222,902 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 99% 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 426,784 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 2,877 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 98% of its contemporaries.