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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of Primary Organic Aerosol from Domestic Wood, Peat, and Coal Burning in Ireland
|
|---|---|
| Published in |
Environmental Science & Technology, September 2017
|
| DOI | 10.1021/acs.est.7b01926 |
| Pubmed ID | |
| Authors |
Chunshui Lin, Darius Ceburnis, Stig Hellebust, Paul Buckley, John Wenger, Francesco Canonaco, André Stephan Henry Prévôt, Ru-Jin Huang, Colin O’Dowd, Jurgita Ovadnevaite |
| Abstract |
An Aerosol Chemical Speciation Monitor (ACSM) was deployed to study the primary non-refractory submicron particulate matter emissions from burning of commercially available solid fuels (peat, coal, and wood) typically used in European domestic fuel stoves. Organic mass spectra (MS) from burning wood, peat, and coal were characterized and inter-compared for factor analysis against ambient data. The reference profiles characterized in this study were used to estimate the contribution of solid fuel sources, along with oil combustion, to ambient pollution in Galway, Ireland using the multilinear engine (ME-2). During periods influenced by marine air masses, local source contribution had dominant impact and non-sea spray primary organic emissions comprised 88% of total organic aerosol mass, with peat burning found to be the greatest contributor (39%), followed by oil (21%), coal (17%), and wood (11%). In contrast, the resolved oxygenated organic aerosol (OOA) dominated the aerosol composition in continental air masses, with contributions of 50%, compared to 12% in marine air masses. The source apportionment results suggest that the use of domestic solid fuels (peat, wood, and coal) for home heating is the major source of evening/night-time particulate pollution events despite their small use. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 3 | 25% |
| United Kingdom | 2 | 17% |
| Germany | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 6 | 11% |
| Researcher | 6 | 11% |
| Lecturer | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Other | 14 | 25% |
| Unknown | 13 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 15 | 27% |
| Chemistry | 8 | 14% |
| Unspecified | 3 | 5% |
| Earth and Planetary Sciences | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 8 | 14% |
| Unknown | 18 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 27 April 2022.
All research outputs
#4,833,258
of 25,382,440 outputs
Outputs from Environmental Science & Technology
#5,460
of 20,680 outputs
Outputs of similar age
#77,435
of 323,170 outputs
Outputs of similar age from Environmental Science & Technology
#95
of 240 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has gotten more attention than average, scoring higher than 73% 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 323,170 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 76% of its contemporaries.
We're also able to compare this research output to 240 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.