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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Applying machine-learning to rapidly analyze large qualitative text datasets to inform the COVID-19 pandemic response: comparing human and machine-assisted topic analysis techniques
|
---|---|
Published in |
Frontiers in Public Health, October 2023
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DOI | 10.3389/fpubh.2023.1268223 |
Pubmed ID | |
Authors |
Lauren Towler, Paulina Bondaronek, Trisevgeni Papakonstantinou, Richard Amlôt, Tim Chadborn, Ben Ainsworth, Lucy Yardley |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 9 | 53% |
Switzerland | 1 | 6% |
Unknown | 7 | 41% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 53% |
Scientists | 6 | 35% |
Practitioners (doctors, other healthcare professionals) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 3 | 15% |
Lecturer | 2 | 10% |
Student > Master | 2 | 10% |
Researcher | 2 | 10% |
Student > Ph. D. Student | 1 | 5% |
Other | 2 | 10% |
Unknown | 8 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 15% |
Computer Science | 2 | 10% |
Unspecified | 1 | 5% |
Mathematics | 1 | 5% |
Unknown | 13 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 May 2024.
All research outputs
#3,126,545
of 25,866,425 outputs
Outputs from Frontiers in Public Health
#1,478
of 14,445 outputs
Outputs of similar age
#49,889
of 367,299 outputs
Outputs of similar age from Frontiers in Public Health
#40
of 816 outputs
Altmetric has tracked 25,866,425 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,445 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 89% 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 367,299 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 816 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 95% of its contemporaries.