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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Why Glycosylation Matters in Building a Better Flu Vaccine
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, October 2019
|
| DOI | 10.1074/mcp.r119.001491 |
| Pubmed ID | |
| Authors |
Deborah Chang, Joseph Zaia |
X Demographics
The data shown below were collected from the profiles of 40 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 | 8 | 20% |
| United Kingdom | 4 | 10% |
| Australia | 4 | 10% |
| Netherlands | 3 | 8% |
| Mexico | 3 | 8% |
| France | 1 | 3% |
| Belgium | 1 | 3% |
| Singapore | 1 | 3% |
| Poland | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 14 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 55% |
| Scientists | 13 | 33% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Unknown | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 18% |
| Student > Ph. D. Student | 13 | 17% |
| Student > Bachelor | 7 | 9% |
| Student > Doctoral Student | 5 | 6% |
| Student > Master | 5 | 6% |
| Other | 10 | 13% |
| Unknown | 24 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 18% |
| Chemistry | 13 | 17% |
| Agricultural and Biological Sciences | 8 | 10% |
| Immunology and Microbiology | 7 | 9% |
| Chemical Engineering | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 27 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 15 December 2021.
All research outputs
#1,623,995
of 25,874,560 outputs
Outputs from Molecular and Cellular Proteomics
#160
of 3,250 outputs
Outputs of similar age
#34,412
of 369,717 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#7
of 38 outputs
Altmetric has tracked 25,874,560 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,250 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 95% 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 369,717 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 90% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.