| Title |
Systematic evaluation of repeatability of IR-MALDESI-MS and normalization strategies for correcting the analytical variation and improving image quality
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, June 2019
|
| DOI | 10.1007/s00216-019-01953-5 |
| Pubmed ID | |
| Authors |
Anqi Tu, David C. Muddiman |
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 % |
|---|---|---|
| United States | 2 | 33% |
| Spain | 1 | 17% |
| Unknown | 3 | 50% |
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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 30% |
| Student > Doctoral Student | 3 | 9% |
| Other | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 11 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 11 | 33% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Engineering | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 12 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 March 2021.
All research outputs
#6,521,817
of 25,998,826 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,521
of 9,810 outputs
Outputs of similar age
#107,479
of 370,173 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#23
of 207 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 9,810 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 84% 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 370,173 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 70% of its contemporaries.
We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.