The data shown below were collected from the profiles of 157 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
Developments and perspectives in high-throughput protein glycomics: enabling the analysis of thousands of samples
|
|---|---|
| Published in |
Glycobiology, April 2022
|
| DOI | 10.1093/glycob/cwac026 |
| Pubmed ID | |
| Authors |
Noortje de Haan, Maja Pučić-Baković, Mislav Novokmet, David Falck, Guinevere Lageveen-Kammeijer, Genadij Razdorov, Frano Vučković, Irena Trbojević-Akmačić, Olga Gornik, Maja Hanić, Manfred Wuhrer, Gordan Lauc, Andras Guttman, Richard Cummings, Samia Mora, Yoann Rombouts, Andad Mehta |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 7% |
| United Kingdom | 4 | 3% |
| Germany | 3 | 2% |
| Australia | 3 | 2% |
| Croatia | 2 | 1% |
| South Africa | 2 | 1% |
| India | 2 | 1% |
| Ireland | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 7 | 4% |
| Unknown | 121 | 77% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 103 | 66% |
| Scientists | 49 | 31% |
| Practitioners (doctors, other healthcare professionals) | 3 | 2% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 22% |
| Researcher | 6 | 13% |
| Student > Master | 5 | 11% |
| Student > Postgraduate | 2 | 4% |
| Other | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 20 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 24% |
| Agricultural and Biological Sciences | 5 | 11% |
| Chemistry | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 21 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 122. 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 September 2023.
All research outputs
#369,761
of 26,614,447 outputs
Outputs from Glycobiology
#5
of 2,114 outputs
Outputs of similar age
#9,933
of 453,653 outputs
Outputs of similar age from Glycobiology
#1
of 20 outputs
Altmetric has tracked 26,614,447 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,114 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 453,653 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 97% of its contemporaries.
We're also able to compare this research output to 20 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 95% of its contemporaries.