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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Bayesian network model for prediction of low or failed fertilization in assisted reproductive technology based on a large clinical real-world data
|
|---|---|
| Published in |
Reproductive Biology and Endocrinology, January 2023
|
| DOI | 10.1186/s12958-023-01065-x |
| Pubmed ID | |
| Authors |
Tian Tian, Fei Kong, Rui Yang, Xiaoyu Long, Lixue Chen, Ming Li, Qin Li, Yongxiu Hao, Yangbo He, Yunjun Zhang, Rong Li, Yuanyuan Wang, Jie Qiao |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Student > Postgraduate | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 13 | 72% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 11% |
| Business, Management and Accounting | 1 | 6% |
| Unspecified | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 12 | 67% |
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 25 February 2023.
All research outputs
#18,906,531
of 23,427,600 outputs
Outputs from Reproductive Biology and Endocrinology
#684
of 1,004 outputs
Outputs of similar age
#282,490
of 415,270 outputs
Outputs of similar age from Reproductive Biology and Endocrinology
#15
of 29 outputs
Altmetric has tracked 23,427,600 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 1,004 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 13th percentile – i.e., 13% 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 415,270 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.