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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Common low complexity regions for SARS-CoV-2 and human proteomes as potential multidirectional risk factor in vaccine development
|
|---|---|
| Published in |
BMC Bioinformatics, April 2021
|
| DOI | 10.1186/s12859-021-04017-7 |
| Pubmed ID | |
| Authors |
Aleksandra Gruca, Joanna Ziemska-Legiecka, Patryk Jarnot, Elzbieta Sarnowska, Tomasz J. Sarnowski, Marcin Grynberg |
X Demographics
The data shown below were collected from the profiles of 91 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 | 17 | 19% |
| United Kingdom | 3 | 3% |
| France | 2 | 2% |
| India | 2 | 2% |
| Canada | 1 | 1% |
| Comoros | 1 | 1% |
| Guadeloupe | 1 | 1% |
| Poland | 1 | 1% |
| Réunion | 1 | 1% |
| Other | 6 | 7% |
| Unknown | 56 | 62% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 85 | 93% |
| Scientists | 5 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 20% |
| Student > Master | 6 | 10% |
| Student > Bachelor | 5 | 8% |
| Other | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 20 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Medicine and Dentistry | 8 | 14% |
| Agricultural and Biological Sciences | 6 | 10% |
| Nursing and Health Professions | 4 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 10 | 17% |
| Unknown | 20 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 63. 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 July 2022.
All research outputs
#688,083
of 25,661,882 outputs
Outputs from BMC Bioinformatics
#35
of 7,735 outputs
Outputs of similar age
#19,631
of 456,435 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 164 outputs
Altmetric has tracked 25,661,882 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 7,735 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 456,435 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 95% 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 particularly well, scoring higher than 98% of its contemporaries.