| Title |
Identification of potential metabolic biomarkers of polycystic ovary syndrome in follicular fluid by SWATH mass spectrometry
|
|---|---|
| Published in |
Reproductive Biology and Endocrinology, June 2019
|
| DOI | 10.1186/s12958-019-0490-y |
| Pubmed ID | |
| Authors |
Zhengao Sun, Hsun-Ming Chang, Aijuan Wang, Jingyan Song, Xingxing Zhang, Jiayin Guo, Peter C. K. Leung, Fang Lian |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Student > Master | 8 | 15% |
| Student > Bachelor | 3 | 6% |
| Researcher | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 1 | 2% |
| Unknown | 25 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 19% |
| Medicine and Dentistry | 5 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 7% |
| Agricultural and Biological Sciences | 4 | 7% |
| Unspecified | 1 | 2% |
| Other | 7 | 13% |
| Unknown | 23 | 43% |
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 31 December 2019.
All research outputs
#18,684,243
of 23,150,406 outputs
Outputs from Reproductive Biology and Endocrinology
#678
of 992 outputs
Outputs of similar age
#263,819
of 353,595 outputs
Outputs of similar age from Reproductive Biology and Endocrinology
#8
of 12 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 992 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 14th percentile – i.e., 14% 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 353,595 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.