| Title |
Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool
|
|---|---|
| Published in |
BMC Bioinformatics, April 2013
|
| DOI | 10.1186/1471-2105-14-128 |
| Pubmed ID | |
| Authors |
Edward Y Chen, Christopher M Tan, Yan Kou, Qiaonan Duan, Zichen Wang, Gabriela Vaz Meirelles, Neil R Clark, Avi Ma’ayan |
X Demographics
The data shown below were collected from the profiles of 14 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 | 7 | 50% |
| Finland | 1 | 7% |
| Spain | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 79% |
| Members of the public | 3 | 21% |
Mendeley readers
The data shown below were compiled from readership statistics for 3,153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 14 | <1% |
| United Kingdom | 6 | <1% |
| Spain | 5 | <1% |
| Sweden | 4 | <1% |
| Netherlands | 3 | <1% |
| Germany | 3 | <1% |
| France | 2 | <1% |
| Japan | 2 | <1% |
| Denmark | 2 | <1% |
| Other | 17 | <1% |
| Unknown | 3095 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 754 | 24% |
| Researcher | 454 | 14% |
| Student > Master | 367 | 12% |
| Student > Bachelor | 273 | 9% |
| Student > Doctoral Student | 179 | 6% |
| Other | 366 | 12% |
| Unknown | 760 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 932 | 30% |
| Agricultural and Biological Sciences | 521 | 17% |
| Medicine and Dentistry | 216 | 7% |
| Neuroscience | 122 | 4% |
| Immunology and Microbiology | 115 | 4% |
| Other | 371 | 12% |
| Unknown | 876 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 49. 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 26 March 2024.
All research outputs
#866,865
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#52
of 7,763 outputs
Outputs of similar age
#6,065
of 213,522 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 126 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 99% 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 213,522 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.