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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MethGET: web-based bioinformatics software for correlating genome-wide DNA methylation and gene expression
|
|---|---|
| Published in |
BMC Genomics, May 2020
|
| DOI | 10.1186/s12864-020-6722-x |
| Pubmed ID | |
| Authors |
Chin-Sheng Teng, Bing-Heng Wu, Ming-Ren Yen, Pao-Yang Chen |
X Demographics
The data shown below were collected from the profiles of 21 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 | 5 | 24% |
| United Kingdom | 3 | 14% |
| Taiwan | 2 | 10% |
| India | 2 | 10% |
| Denmark | 1 | 5% |
| Kenya | 1 | 5% |
| Spain | 1 | 5% |
| Unknown | 6 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 52% |
| Scientists | 10 | 48% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 24% |
| Researcher | 11 | 20% |
| Student > Master | 3 | 5% |
| Student > Bachelor | 2 | 4% |
| Lecturer | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 17 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 24% |
| Agricultural and Biological Sciences | 11 | 20% |
| Medicine and Dentistry | 5 | 9% |
| Arts and Humanities | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 21 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 17 June 2020.
All research outputs
#2,830,965
of 25,542,788 outputs
Outputs from BMC Genomics
#845
of 11,279 outputs
Outputs of similar age
#76,699
of 432,188 outputs
Outputs of similar age from BMC Genomics
#16
of 144 outputs
Altmetric has tracked 25,542,788 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,279 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 432,188 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 82% of its contemporaries.
We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.