You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
LOLA: enrichment analysis for genomic region sets and regulatory elements in R and Bioconductor
|
|---|---|
| Published in |
Bioinformatics, October 2015
|
| DOI | 10.1093/bioinformatics/btv612 |
| Pubmed ID | |
| Authors |
Nathan C Sheffield, Christoph Bock |
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 | 5 | 36% |
| Spain | 2 | 14% |
| Australia | 1 | 7% |
| Italy | 1 | 7% |
| France | 1 | 7% |
| Austria | 1 | 7% |
| Unknown | 3 | 21% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Scientists | 7 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 312 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| France | 1 | <1% |
| Ireland | 1 | <1% |
| Finland | 1 | <1% |
| Austria | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 300 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 92 | 29% |
| Researcher | 74 | 24% |
| Student > Bachelor | 25 | 8% |
| Student > Master | 22 | 7% |
| Student > Doctoral Student | 16 | 5% |
| Other | 39 | 13% |
| Unknown | 44 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 111 | 36% |
| Agricultural and Biological Sciences | 91 | 29% |
| Computer Science | 21 | 7% |
| Medicine and Dentistry | 12 | 4% |
| Neuroscience | 4 | 1% |
| Other | 19 | 6% |
| Unknown | 54 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 23 June 2016.
All research outputs
#2,312,375
of 25,837,817 outputs
Outputs from Bioinformatics
#1,591
of 12,966 outputs
Outputs of similar age
#32,051
of 296,814 outputs
Outputs of similar age from Bioinformatics
#51
of 191 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 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,966 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 87% 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 296,814 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 89% of its contemporaries.
We're also able to compare this research output to 191 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 71% of its contemporaries.