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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predictors of severe H1N1 infection in children presenting within Pediatric Emergency Research Networks (PERN): retrospective case-control study
|
|---|---|
| Published in |
British Medical Journal, August 2013
|
| DOI | 10.1136/bmj.f4836 |
| Pubmed ID | |
| Authors |
Stuart R Dalziel, John MD Thompson, Charles G Macias, Ricardo M Fernandes, David W Johnson, Yehezkel Waisman, Nicholas Cheng, Jason Acworth, James M Chamberlain, Martin H Osmond, Amy Plint, Paolo Valerio, Karen JL Black, Eleanor Fitzpatrick, Amanda S Newton, Nathan Kuppermann, Terry P Klassen |
| Abstract |
To identify historical and clinical findings at emergency department presentation associated with severe H1N1 outcome in children presenting with influenza-like illness. |
X Demographics
The data shown below were collected from the profiles of 45 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 16% |
| Canada | 5 | 11% |
| United States | 3 | 7% |
| Spain | 3 | 7% |
| Portugal | 1 | 2% |
| South Africa | 1 | 2% |
| Singapore | 1 | 2% |
| Australia | 1 | 2% |
| Japan | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 21 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 58% |
| Practitioners (doctors, other healthcare professionals) | 14 | 31% |
| Scientists | 5 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 3% |
| United States | 1 | 1% |
| Unknown | 88 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 15% |
| Student > Master | 13 | 14% |
| Student > Ph. D. Student | 11 | 12% |
| Student > Bachelor | 8 | 9% |
| Professor > Associate Professor | 7 | 8% |
| Other | 21 | 23% |
| Unknown | 18 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 46 | 50% |
| Nursing and Health Professions | 5 | 5% |
| Social Sciences | 4 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Psychology | 2 | 2% |
| Other | 10 | 11% |
| Unknown | 22 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 68. 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 June 2022.
All research outputs
#624,792
of 25,373,627 outputs
Outputs from British Medical Journal
#6,950
of 64,463 outputs
Outputs of similar age
#4,823
of 209,326 outputs
Outputs of similar age from British Medical Journal
#52
of 777 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 64,463 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.1. 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 209,326 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 97% of its contemporaries.
We're also able to compare this research output to 777 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 93% of its contemporaries.