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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification of small non-coding RNAs as sperm quality biomarkers for in vitro fertilization
|
|---|---|
| Published in |
Cell Discovery, April 2019
|
| DOI | 10.1038/s41421-019-0087-9 |
| Pubmed ID | |
| Authors |
Minmin Hua, Wei Liu, Ying Chen, Fengjuan Zhang, Beiying Xu, Suying Liu, Guowu Chen, Huijuan Shi, Ligang Wu |
X Demographics
The data shown below were collected from the profiles of 15 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 | 6 | 40% |
| Finland | 2 | 13% |
| Germany | 2 | 13% |
| United Kingdom | 1 | 7% |
| Sweden | 1 | 7% |
| Japan | 1 | 7% |
| Russia | 1 | 7% |
| Unknown | 1 | 7% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 7 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 17% |
| Student > Doctoral Student | 7 | 11% |
| Student > Bachelor | 6 | 9% |
| Other | 6 | 9% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 10 | 16% |
| Unknown | 20 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 30% |
| Agricultural and Biological Sciences | 9 | 14% |
| Medicine and Dentistry | 7 | 11% |
| Business, Management and Accounting | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 22 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 11 April 2019.
All research outputs
#3,159,871
of 23,140,503 outputs
Outputs from Cell Discovery
#153
of 546 outputs
Outputs of similar age
#70,783
of 352,700 outputs
Outputs of similar age from Cell Discovery
#4
of 14 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 546 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.2. This one has gotten more attention than average, scoring higher than 71% 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 352,700 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 14 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 71% of its contemporaries.