| Title |
Improving long-term stability of retinol in dried blood spots and quantification of its levels via a novel LC-MS/MS method
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, November 2019
|
| DOI | 10.1007/s00216-019-02183-5 |
| Pubmed ID | |
| Authors |
Min Zhang, YiRan Wu, Fang Wang, HongJun Liu, ShuYi Zhang, ZiQiang Zhang, LiJun Shao, Jian Yang, XiaoDai Cui, YanFeng Zhang, Ting Zhang, JunSheng Huo, JianXin Wu |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 18% |
| Student > Ph. D. Student | 4 | 18% |
| Other | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Researcher | 2 | 9% |
| Other | 1 | 5% |
| Unknown | 7 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Medicine and Dentistry | 2 | 9% |
| Chemical Engineering | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 9 | 41% |
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 23 December 2019.
All research outputs
#19,957,118
of 25,387,668 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,068
of 9,622 outputs
Outputs of similar age
#339,229
of 473,254 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#108
of 201 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,622 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 31st percentile – i.e., 31% 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 473,254 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.