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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SMITH: a LIMS for handling next-generation sequencing workflows
|
|---|---|
| Published in |
BMC Bioinformatics, November 2014
|
| DOI | 10.1186/1471-2105-15-s14-s3 |
| Pubmed ID | |
| Authors |
Francesco Venco, Yuriy Vaskin, Arnaud Ceol, Heiko Muller |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 25% |
| Israel | 1 | 13% |
| India | 1 | 13% |
| Spain | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Switzerland | 1 | 2% |
| Netherlands | 1 | 2% |
| Sweden | 1 | 2% |
| Argentina | 1 | 2% |
| Belgium | 1 | 2% |
| Denmark | 1 | 2% |
| China | 1 | 2% |
| United States | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 56 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 41% |
| Student > Master | 10 | 15% |
| Student > Bachelor | 8 | 12% |
| Student > Ph. D. Student | 7 | 11% |
| Lecturer | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 39% |
| Biochemistry, Genetics and Molecular Biology | 13 | 20% |
| Computer Science | 11 | 17% |
| Engineering | 2 | 3% |
| Business, Management and Accounting | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 9 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 05 April 2015.
All research outputs
#2,431,539
of 22,772,779 outputs
Outputs from BMC Bioinformatics
#755
of 7,273 outputs
Outputs of similar age
#36,537
of 361,861 outputs
Outputs of similar age from BMC Bioinformatics
#16
of 136 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,273 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 done well, scoring higher than 89% 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 361,861 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 136 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.