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Mendeley readers
Attention Score in Context
| Title |
Nanoparticles and cars - analysis of potential sources
|
|---|---|
| Published in |
Journal of Occupational Medicine and Toxicology, June 2012
|
| DOI | 10.1186/1745-6673-7-13 |
| Pubmed ID | |
| Authors |
Stefanie Uibel, Masaya Takemura, Daniel Mueller, David Quarcoo, Doris Klingelhoefer, David A Groneberg |
| Abstract |
Urban health is potentially affected by particle emissions. The potential toxicity of nanoparticles is heavily debated and there is an enormous global increase in research activity in this field. In this respect, it is commonly accepted that nanoparticles may also be generated in processes occurring while driving vehicles. So far, a variety of studies addressed traffic-related particulate matter emissions, but only few studies focused on potential nanoparticles.Therefore, the present study analyzed the literature with regard to nanoparticles and cars. It can be stated that, to date, only a limited amount of research has been conducted in this area and more studies are needed to 1) address kind and sources of nanoparticles within automobiles and to 2) analyse whether there are health effects caused by these nanoparticles. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 4% |
| Czechia | 1 | 4% |
| Brazil | 1 | 4% |
| Unknown | 21 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Master | 4 | 17% |
| Student > Ph. D. Student | 3 | 13% |
| Professor | 2 | 8% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 4 | 17% |
| Chemistry | 3 | 13% |
| Medicine and Dentistry | 3 | 13% |
| Social Sciences | 2 | 8% |
| Physics and Astronomy | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 9 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 February 2013.
All research outputs
#15,262,171
of 22,694,633 outputs
Outputs from Journal of Occupational Medicine and Toxicology
#210
of 391 outputs
Outputs of similar age
#104,742
of 164,348 outputs
Outputs of similar age from Journal of Occupational Medicine and Toxicology
#2
of 3 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 391 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 164,348 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.