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X Demographics
Mendeley readers
Attention Score in Context
| Title |
VESPA: software to facilitate genomic annotation of prokaryotic organisms through integration of proteomic and transcriptomic data
|
|---|---|
| Published in |
BMC Genomics, April 2012
|
| DOI | 10.1186/1471-2164-13-131 |
| Pubmed ID | |
| Authors |
Elena S Peterson, Lee Ann McCue, Alexandra C Schrimpe-Rutledge, Jeffrey L Jensen, Hyunjoo Walker, Markus A Kobold, Samantha R Webb, Samuel H Payne, Charles Ansong, Joshua N Adkins, William R Cannon, Bobbie-Jo M Webb-Robertson |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| United Kingdom | 1 | 25% |
| Germany | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Italy | 1 | <1% |
| Sweden | 1 | <1% |
| Belgium | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 100 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 26% |
| Researcher | 28 | 26% |
| Student > Master | 14 | 13% |
| Student > Bachelor | 7 | 6% |
| Professor | 6 | 6% |
| Other | 16 | 15% |
| Unknown | 10 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 36% |
| Biochemistry, Genetics and Molecular Biology | 19 | 17% |
| Engineering | 6 | 6% |
| Computer Science | 5 | 5% |
| Immunology and Microbiology | 4 | 4% |
| Other | 21 | 19% |
| Unknown | 15 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 13 April 2012.
All research outputs
#3,787,571
of 26,017,215 outputs
Outputs from BMC Genomics
#1,331
of 11,367 outputs
Outputs of similar age
#23,619
of 176,482 outputs
Outputs of similar age from BMC Genomics
#7
of 87 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 88% 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 176,482 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 86% of its contemporaries.
We're also able to compare this research output to 87 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 91% of its contemporaries.