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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Identification, expression, and artificial selection of silkworm epigenetic modification enzymes
|
|---|---|
| Published in |
BMC Genomics, October 2020
|
| DOI | 10.1186/s12864-020-07155-z |
| Pubmed ID | |
| Authors |
Rui Gao, Chun-Lin Li, Xiao-Ling Tong, Min-Jin Han, Kun-Peng Lu, Shu-Bo Liang, Hai Hu, Yue Luan, Bi-Li Zhang, Yan-Yu Liu, Fang-Yin Dai |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 18% |
| Student > Bachelor | 2 | 18% |
| Researcher | 2 | 18% |
| Student > Master | 2 | 18% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 27% |
| Nursing and Health Professions | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Neuroscience | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 4 | 36% |
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 25 October 2020.
All research outputs
#14,718,998
of 23,577,654 outputs
Outputs from BMC Genomics
#5,804
of 10,777 outputs
Outputs of similar age
#231,383
of 421,889 outputs
Outputs of similar age from BMC Genomics
#87
of 201 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,777 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% 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 421,889 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% 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 has gotten more attention than average, scoring higher than 50% of its contemporaries.