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X Demographics
Mendeley readers
Attention Score in Context
| 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 3,171 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 | 3113 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 760 | 24% |
| Researcher | 457 | 14% |
| Student > Master | 367 | 12% |
| Student > Bachelor | 275 | 9% |
| Student > Doctoral Student | 180 | 6% |
| Other | 372 | 12% |
| Unknown | 760 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 938 | 30% |
| Agricultural and Biological Sciences | 522 | 16% |
| Medicine and Dentistry | 217 | 7% |
| Neuroscience | 122 | 4% |
| Immunology and Microbiology | 116 | 4% |
| Other | 380 | 12% |
| Unknown | 876 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 56. 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 02 May 2024.
All research outputs
#771,323
of 25,830,005 outputs
Outputs from BMC Bioinformatics
#40
of 7,754 outputs
Outputs of similar age
#5,253
of 210,698 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 125 outputs
Altmetric has tracked 25,830,005 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,754 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 210,698 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 97% of its contemporaries.
We're also able to compare this research output to 125 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.