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 |
Sequence Bundles: a novel method for visualising, discovering and exploring sequence motifs
|
|---|---|
| Published in |
BMC Proceedings, August 2014
|
| DOI | 10.1186/1753-6561-8-s2-s8 |
| Pubmed ID | |
| Authors |
Marek Kultys, Lydia Nicholas, Roland Schwarz, Nick Goldman, James King |
X Demographics
The data shown below were collected from the profiles of 39 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 | 10 | 26% |
| United States | 7 | 18% |
| Switzerland | 3 | 8% |
| Mexico | 1 | 3% |
| Turkey | 1 | 3% |
| Spain | 1 | 3% |
| Germany | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 14 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 59% |
| Scientists | 15 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 10% |
| United States | 1 | 3% |
| Belgium | 1 | 3% |
| Unknown | 24 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 24% |
| Researcher | 6 | 21% |
| Student > Ph. D. Student | 6 | 21% |
| Professor > Associate Professor | 3 | 10% |
| Student > Bachelor | 3 | 10% |
| Other | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 55% |
| Computer Science | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Engineering | 2 | 7% |
| Psychology | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 1 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 November 2016.
All research outputs
#1,153,839
of 24,287,598 outputs
Outputs from BMC Proceedings
#8
of 395 outputs
Outputs of similar age
#11,963
of 241,109 outputs
Outputs of similar age from BMC Proceedings
#3
of 24 outputs
Altmetric has tracked 24,287,598 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 395 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 98% 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 241,109 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 95% of its contemporaries.
We're also able to compare this research output to 24 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 91% of its contemporaries.