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X Demographics
Mendeley readers
Attention Score in Context
| Title |
VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology
|
|---|---|
| Published in |
BMC Bioinformatics, February 2017
|
| DOI | 10.1186/s12859-017-1540-0 |
| Pubmed ID | |
| Authors |
Muhammad Rizwan, Anam Naz, Jamil Ahmad, Kanwal Naz, Ayesha Obaid, Tamsila Parveen, Muhammad Ahsan, Amjad Ali |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Pakistan | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Unknown | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 106 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 20 | 19% |
| Student > Master | 19 | 18% |
| Student > Ph. D. Student | 14 | 13% |
| Other | 5 | 5% |
| Researcher | 5 | 5% |
| Other | 13 | 12% |
| Unknown | 30 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 24% |
| Agricultural and Biological Sciences | 19 | 18% |
| Immunology and Microbiology | 9 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Medicine and Dentistry | 4 | 4% |
| Other | 7 | 7% |
| Unknown | 37 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 April 2024.
All research outputs
#14,760,258
of 25,626,416 outputs
Outputs from BMC Bioinformatics
#4,054
of 7,732 outputs
Outputs of similar age
#218,815
of 433,470 outputs
Outputs of similar age from BMC Bioinformatics
#65
of 149 outputs
Altmetric has tracked 25,626,416 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,732 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 44th percentile – i.e., 44% 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 433,470 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 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 53% of its contemporaries.