The data shown below were collected from the profiles of 113 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
| 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
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 22 | 19% |
| United Kingdom | 6 | 5% |
| United States | 4 | 4% |
| Cuba | 2 | 2% |
| Canada | 2 | 2% |
| Mauritius | 2 | 2% |
| Australia | 2 | 2% |
| Switzerland | 2 | 2% |
| Singapore | 2 | 2% |
| Other | 17 | 15% |
| Unknown | 52 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 102 | 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 384 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 384 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 34 | 9% |
| Researcher | 32 | 8% |
| Student > Ph. D. Student | 31 | 8% |
| Lecturer | 28 | 7% |
| Other | 21 | 5% |
| Other | 76 | 20% |
| Unknown | 162 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 9% |
| Social Sciences | 34 | 9% |
| Computer Science | 22 | 6% |
| Business, Management and Accounting | 17 | 4% |
| Economics, Econometrics and Finance | 13 | 3% |
| Other | 82 | 21% |
| Unknown | 182 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 293. 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
#124,307
of 26,163,973 outputs
Outputs from PLOS ONE
#1,930
of 228,395 outputs
Outputs of similar age
#3,810
of 429,492 outputs
Outputs of similar age from PLOS ONE
#36
of 2,883 outputs
Altmetric has tracked 26,163,973 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 228,395 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. 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 429,492 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 2,883 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.