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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MADA: a web service for analysing DNA methylation array data
|
|---|---|
| Published in |
BMC Bioinformatics, November 2020
|
| DOI | 10.1186/s12859-020-03734-9 |
| Pubmed ID | |
| Authors |
Xinyu Hu, Li Tang, Linconghua Wang, Fang-Xiang Wu, Min Li |
X Demographics
The data shown below were collected from the profiles of 8 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 Kingdom | 2 | 25% |
| United States | 1 | 13% |
| Colombia | 1 | 13% |
| Sweden | 1 | 13% |
| India | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 20% |
| Student > Postgraduate | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Unknown | 8 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 27% |
| Engineering | 2 | 13% |
| Psychology | 1 | 7% |
| Computer Science | 1 | 7% |
| Unknown | 7 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 03 June 2021.
All research outputs
#7,638,456
of 23,263,851 outputs
Outputs from BMC Bioinformatics
#3,065
of 7,365 outputs
Outputs of similar age
#189,396
of 506,708 outputs
Outputs of similar age from BMC Bioinformatics
#76
of 168 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,365 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 506,708 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 168 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.