| Title |
Quantifying silica in filter-deposited mine dusts using infrared spectra and partial least squares regression
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, May 2014
|
| DOI | 10.1007/s00216-014-7856-y |
| Pubmed ID | |
| Authors |
Andrew Todd Weakley, Arthur L. Miller, Peter R. Griffiths, Sean J. Bayman |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 8% |
| Unknown | 11 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 17% |
| Student > Master | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Other | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 3 | 25% |
| Environmental Science | 3 | 25% |
| Engineering | 2 | 17% |
| Medicine and Dentistry | 1 | 8% |
| Chemical Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 April 2017.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Analytical & Bioanalytical Chemistry
#2,202
of 9,619 outputs
Outputs of similar age
#80,161
of 241,958 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#25
of 82 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 56% 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 241,958 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.