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 |
GBSX: a toolkit for experimental design and demultiplexing genotyping by sequencing experiments
|
|---|---|
| Published in |
BMC Bioinformatics, March 2015
|
| DOI | 10.1186/s12859-015-0514-3 |
| Pubmed ID | |
| Authors |
Koen Herten, Matthew S Hestand, Joris R Vermeesch, Jeroen KJ Van Houdt |
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 % |
|---|---|---|
| Germany | 1 | 20% |
| Norway | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Sweden | 1 | <1% |
| New Zealand | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 106 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 24% |
| Student > Ph. D. Student | 27 | 24% |
| Student > Master | 18 | 16% |
| Student > Doctoral Student | 11 | 10% |
| Student > Bachelor | 10 | 9% |
| Other | 10 | 9% |
| Unknown | 8 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 68% |
| Biochemistry, Genetics and Molecular Biology | 17 | 15% |
| Computer Science | 2 | 2% |
| Mathematics | 1 | <1% |
| Economics, Econometrics and Finance | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 13 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 25 April 2015.
All research outputs
#15,818,525
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#4,604
of 7,793 outputs
Outputs of similar age
#142,882
of 277,625 outputs
Outputs of similar age from BMC Bioinformatics
#71
of 138 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 277,625 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.