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X Demographics
Mendeley readers
Attention Score in Context
Title |
AllEnricher: a comprehensive gene set function enrichment tool for both model and non-model species
|
---|---|
Published in |
BMC Bioinformatics, March 2020
|
DOI | 10.1186/s12859-020-3408-y |
Pubmed ID | |
Authors |
Du Zhang, Qi Hu, Xinxing Liu, Kai Zou, Emmanuel Konadu Sarkodie, Xueduan Liu, Fei Gao |
X Demographics
The data shown below were collected from the profiles of 10 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 | 3 | 30% |
Canada | 1 | 10% |
Australia | 1 | 10% |
India | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 80% |
Members of the public | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 28% |
Researcher | 11 | 23% |
Student > Master | 6 | 13% |
Student > Doctoral Student | 3 | 6% |
Student > Postgraduate | 2 | 4% |
Other | 2 | 4% |
Unknown | 10 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 26% |
Biochemistry, Genetics and Molecular Biology | 11 | 23% |
Social Sciences | 3 | 6% |
Medicine and Dentistry | 2 | 4% |
Arts and Humanities | 1 | 2% |
Other | 3 | 6% |
Unknown | 15 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 September 2021.
All research outputs
#7,359,949
of 23,198,445 outputs
Outputs from BMC Bioinformatics
#2,899
of 7,349 outputs
Outputs of similar age
#150,239
of 394,057 outputs
Outputs of similar age from BMC Bioinformatics
#44
of 116 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,349 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 58% 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 394,057 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 61% of its contemporaries.
We're also able to compare this research output to 116 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 60% of its contemporaries.