Title |
PanRV: Pangenome-reverse vaccinology approach for identifications of potential vaccine candidates in microbial pangenome
|
---|---|
Published in |
BMC Bioinformatics, March 2019
|
DOI | 10.1186/s12859-019-2713-9 |
Pubmed ID | |
Authors |
Kanwal Naz, Anam Naz, Shifa Tariq Ashraf, Muhammad Rizwan, Jamil Ahmad, Jan Baumbach, Amjad Ali |
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 % |
---|---|---|
United States | 1 | 20% |
India | 1 | 20% |
Pakistan | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 136 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 22 | 16% |
Student > Master | 20 | 15% |
Student > Ph. D. Student | 15 | 11% |
Researcher | 14 | 10% |
Other | 6 | 4% |
Other | 16 | 12% |
Unknown | 43 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 39 | 29% |
Agricultural and Biological Sciences | 21 | 15% |
Immunology and Microbiology | 14 | 10% |
Computer Science | 2 | 1% |
Veterinary Science and Veterinary Medicine | 2 | 1% |
Other | 11 | 8% |
Unknown | 47 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 03 May 2019.
All research outputs
#2,859,912
of 23,133,982 outputs
Outputs from BMC Bioinformatics
#962
of 7,337 outputs
Outputs of similar age
#65,603
of 351,339 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 164 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,337 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 86% 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 351,339 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 81% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.