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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparison of three programming languages for a full-fledged next-generation sequencing tool
|
|---|---|
| Published in |
BMC Bioinformatics, June 2019
|
| DOI | 10.1186/s12859-019-2903-5 |
| Pubmed ID | |
| Authors |
Pascal Costanza, Charlotte Herzeel, Wilfried Verachtert |
X Demographics
The data shown below were collected from the profiles of 84 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 | 10 | 12% |
| India | 4 | 5% |
| United Kingdom | 4 | 5% |
| Korea, Republic of | 3 | 4% |
| Singapore | 2 | 2% |
| Germany | 2 | 2% |
| Belgium | 2 | 2% |
| Thailand | 2 | 2% |
| Sweden | 2 | 2% |
| Other | 15 | 18% |
| Unknown | 38 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 67 | 80% |
| Scientists | 16 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 16% |
| Student > Master | 6 | 14% |
| Student > Doctoral Student | 5 | 11% |
| Researcher | 5 | 11% |
| Student > Postgraduate | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 11 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 20% |
| Biochemistry, Genetics and Molecular Biology | 8 | 18% |
| Agricultural and Biological Sciences | 5 | 11% |
| Engineering | 4 | 9% |
| Mathematics | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 12 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 67. 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 20 August 2021.
All research outputs
#640,885
of 25,373,627 outputs
Outputs from BMC Bioinformatics
#32
of 7,692 outputs
Outputs of similar age
#13,975
of 365,140 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 191 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,692 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 99% 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 365,140 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 96% 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 done particularly well, scoring higher than 99% of its contemporaries.