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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cardiopulmonary toxicity of peat wildfire particulate matter and the predictive utility of precision cut lung slices
|
|---|---|
| Published in |
Particle and Fibre Toxicology, June 2014
|
| DOI | 10.1186/1743-8977-11-29 |
| Pubmed ID | |
| Authors |
Yong Ho Kim, Haiyan Tong, Mary Daniels, Elizabeth Boykin, Q Todd Krantz, John McGee, Michael Hays, Kasey Kovalcik, Janice A Dye, M Ian Gilmour |
| Abstract |
Emissions from a large peat fire in North Carolina in 2008 were associated with increased hospital admissions for asthma and the rate of heart failure in the exposed population. Peat fires often produce larger amounts of smoke and last longer than forest fires, however few studies have reported on their toxicity. Moreover, reliable alternatives to traditional animal toxicity testing are needed to reduce the number of animals required for hazard identification and risk assessments. |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 127 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 17% |
| Student > Master | 22 | 17% |
| Student > Bachelor | 16 | 13% |
| Student > Ph. D. Student | 13 | 10% |
| Student > Postgraduate | 6 | 5% |
| Other | 18 | 14% |
| Unknown | 31 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 17% |
| Environmental Science | 20 | 16% |
| Agricultural and Biological Sciences | 13 | 10% |
| Nursing and Health Professions | 6 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 5% |
| Other | 23 | 18% |
| Unknown | 38 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 29 August 2022.
All research outputs
#3,347,842
of 23,202,641 outputs
Outputs from Particle and Fibre Toxicology
#118
of 568 outputs
Outputs of similar age
#30,936
of 207,202 outputs
Outputs of similar age from Particle and Fibre Toxicology
#1
of 5 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 568 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done well, scoring higher than 78% 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 207,202 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 84% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them