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X Demographics
Mendeley readers
Attention Score in Context
| Title |
bioWeb3D: an online webGL 3D data visualisation tool
|
|---|---|
| Published in |
BMC Bioinformatics, June 2013
|
| DOI | 10.1186/1471-2105-14-185 |
| Pubmed ID | |
| Authors |
Jean-Baptiste Pettit, John C Marioni |
| Abstract |
Data visualization is critical for interpreting biological data. However, in practice it can prove to be a bottleneck for non trained researchers; this is especially true for three dimensional (3D) data representation. Whilst existing software can provide all necessary functionalities to represent and manipulate biological 3D datasets, very few are easily accessible (browser based), cross platform and accessible to non-expert users. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 40% |
| France | 1 | 20% |
| Switzerland | 1 | 20% |
| Norway | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Portugal | 1 | 2% |
| Australia | 1 | 2% |
| Denmark | 1 | 2% |
| Spain | 1 | 2% |
| Japan | 1 | 2% |
| Unknown | 58 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 18% |
| Student > Master | 12 | 18% |
| Student > Bachelor | 8 | 12% |
| Student > Ph. D. Student | 6 | 9% |
| Professor | 5 | 8% |
| Other | 11 | 17% |
| Unknown | 11 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 28% |
| Computer Science | 17 | 26% |
| Engineering | 5 | 8% |
| Arts and Humanities | 4 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 12 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 24 June 2013.
All research outputs
#5,695,819
of 22,711,645 outputs
Outputs from BMC Bioinformatics
#2,121
of 7,259 outputs
Outputs of similar age
#47,948
of 197,464 outputs
Outputs of similar age from BMC Bioinformatics
#31
of 100 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,259 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 70% 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 197,464 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 75% of its contemporaries.
We're also able to compare this research output to 100 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 69% of its contemporaries.