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Improving the early identification of COVID-19 pneumonia: a narrative review

Overview of attention for article published in BMJ Open Respiratory Research, November 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 642)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
406 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Improving the early identification of COVID-19 pneumonia: a narrative review
Published in
BMJ Open Respiratory Research, November 2021
DOI 10.1136/bmjresp-2021-000911
Pubmed ID
Authors

Daniel Goyal, Matthew Inada-Kim, Fatam Mansab, Amir Iqbal, Brian McKinstry, Adeeb P Naasan, Colin Millar, Stephen Thomas, Sohail Bhatti, Daniel Lasserson, Derek Burke

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 406 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 14%
Student > Bachelor 5 11%
Other 3 7%
Lecturer 2 5%
Student > Ph. D. Student 2 5%
Other 6 14%
Unknown 20 45%
Readers by discipline Count As %
Medicine and Dentistry 9 20%
Nursing and Health Professions 4 9%
Psychology 2 5%
Environmental Science 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 9%
Unknown 23 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 264. 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 20 September 2023.
All research outputs
#129,987
of 24,498,639 outputs
Outputs from BMJ Open Respiratory Research
#8
of 642 outputs
Outputs of similar age
#3,608
of 433,422 outputs
Outputs of similar age from BMJ Open Respiratory Research
#1
of 42 outputs
Altmetric has tracked 24,498,639 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 642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.5. This one has done particularly well, scoring higher than 98% 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 433,422 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 42 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 99% of its contemporaries.