| Title |
“METAGENOTE: a simplified web platform for metadata annotation of genomic samples and streamlined submission to NCBI’s sequence read archive”
|
|---|---|
| Published in |
BMC Bioinformatics, September 2020
|
| DOI | 10.1186/s12859-020-03694-0 |
| Pubmed ID | |
| Authors |
Mariam Quiñones, David T. Liou, Conrad Shyu, Wongyu Kim, Ivan Vujkovic-Cvijin, Yasmine Belkaid, Darrell E. Hurt |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 13% |
| Sweden | 2 | 13% |
| United Kingdom | 2 | 13% |
| Brazil | 1 | 7% |
| India | 1 | 7% |
| Spain | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 53% |
| Members of the public | 7 | 47% |
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 % |
|---|---|---|
| Researcher | 8 | 18% |
| Student > Ph. D. Student | 7 | 16% |
| Student > Bachelor | 5 | 11% |
| Student > Master | 5 | 11% |
| Professor > Associate Professor | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 11 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 25% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Unspecified | 3 | 7% |
| Computer Science | 3 | 7% |
| Medicine and Dentistry | 2 | 5% |
| Other | 5 | 11% |
| Unknown | 14 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 09 September 2020.
All research outputs
#4,273,835
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#1,632
of 7,387 outputs
Outputs of similar age
#104,040
of 400,347 outputs
Outputs of similar age from BMC Bioinformatics
#47
of 152 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,387 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 well, scoring higher than 77% 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 400,347 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 152 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.