| Title |
A combined chemical imaging approach using (MC) LA-ICP-MS and NIR-HSI to evaluate the diagenetic status of bone material for Sr isotope analysis
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, December 2018
|
| DOI | 10.1007/s00216-018-1489-5 |
| Pubmed ID | |
| Authors |
Anika Retzmann, Magdalena Blanz, Andreas Zitek, Johanna Irrgeher, Jörg Feldmann, Maria Teschler-Nicola, Thomas Prohaska |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 17% |
| Germany | 1 | 17% |
| Mexico | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 26% |
| Student > Ph. D. Student | 6 | 18% |
| Researcher | 4 | 12% |
| Professor | 3 | 9% |
| Other | 3 | 9% |
| Other | 4 | 12% |
| Unknown | 5 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 12 | 35% |
| Earth and Planetary Sciences | 6 | 18% |
| Arts and Humanities | 2 | 6% |
| Environmental Science | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 6 | 18% |
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 11 October 2019.
All research outputs
#14,396,821
of 25,385,509 outputs
Outputs from Analytical & Bioanalytical Chemistry
#4,278
of 9,619 outputs
Outputs of similar age
#214,204
of 445,372 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#30
of 146 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% 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 55% 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 445,372 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 51% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.