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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PTM-Shepherd: Analysis and Summarization of Post-Translational and Chemical Modifications From Open Search Results
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, January 2021
|
| DOI | 10.1074/mcp.tir120.002216 |
| Pubmed ID | |
| Authors |
Daniel J. Geiszler, Andy T. Kong, Dmitry M. Avtonomov, Fengchao Yu, Felipe da Veiga Leprevost, Alexey I. Nesvizhskii |
X Demographics
The data shown below were collected from the profiles of 35 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 | 9 | 26% |
| Australia | 4 | 11% |
| United Kingdom | 3 | 9% |
| Switzerland | 2 | 6% |
| Spain | 1 | 3% |
| Germany | 1 | 3% |
| Sweden | 1 | 3% |
| Japan | 1 | 3% |
| Czechia | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 63% |
| Scientists | 11 | 31% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 117 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 26% |
| Researcher | 25 | 21% |
| Student > Master | 12 | 10% |
| Student > Doctoral Student | 6 | 5% |
| Student > Bachelor | 5 | 4% |
| Other | 10 | 9% |
| Unknown | 29 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 45 | 38% |
| Chemistry | 18 | 15% |
| Agricultural and Biological Sciences | 13 | 11% |
| Computer Science | 4 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Other | 5 | 4% |
| Unknown | 29 | 25% |
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 22 February 2023.
All research outputs
#1,556,657
of 25,078,088 outputs
Outputs from Molecular and Cellular Proteomics
#155
of 3,191 outputs
Outputs of similar age
#41,730
of 517,373 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#20
of 182 outputs
Altmetric has tracked 25,078,088 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 3,191 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 517,373 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 91% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.