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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of serum biomarkers for premature ovarian failure
|
|---|---|
| Published in |
BBA - Proteins & Proteomics, December 2018
|
| DOI | 10.1016/j.bbapap.2018.12.007 |
| Pubmed ID | |
| Authors |
Da-Hye Lee, Chang-Zhu Pei, Jae-Yun Song, Kyung-Ju Lee, Bo-Seong Yun, Kyu-Bum Kwack, Eun-Il Lee, Kwang-Hyun Baek |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 12% |
| Student > Master | 2 | 12% |
| Professor > Associate Professor | 2 | 12% |
| Researcher | 2 | 12% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 29% |
| Medicine and Dentistry | 3 | 18% |
| Chemical Engineering | 1 | 6% |
| Veterinary Science and Veterinary Medicine | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 January 2019.
All research outputs
#16,728,456
of 25,385,509 outputs
Outputs from BBA - Proteins & Proteomics
#216
of 496 outputs
Outputs of similar age
#268,562
of 445,418 outputs
Outputs of similar age from BBA - Proteins & Proteomics
#9
of 24 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 496 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 50% 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 445,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.