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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tidyproteomics: an open-source R package and data object for quantitative proteomics post analysis and visualization
|
|---|---|
| Published in |
BMC Bioinformatics, June 2023
|
| DOI | 10.1186/s12859-023-05360-7 |
| Pubmed ID | |
| Authors |
Jeff Jones, Elliot J. MacKrell, Ting-Yu Wang, Brett Lomenick, Michael L. Roukes, Tsui-Fen Chou |
X Demographics
The data shown below were collected from the profiles of 34 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 4 | 12% |
| United States | 4 | 12% |
| India | 2 | 6% |
| Mexico | 1 | 3% |
| Russia | 1 | 3% |
| United Kingdom | 1 | 3% |
| Brazil | 1 | 3% |
| Taiwan | 1 | 3% |
| Spain | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 13 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 50% |
| Scientists | 13 | 38% |
| Practitioners (doctors, other healthcare professionals) | 3 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 31% |
| Researcher | 3 | 19% |
| Student > Doctoral Student | 1 | 6% |
| Unspecified | 1 | 6% |
| Student > Master | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 25% |
| Biochemistry, Genetics and Molecular Biology | 2 | 13% |
| Chemistry | 2 | 13% |
| Business, Management and Accounting | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 25 December 2023.
All research outputs
#2,149,885
of 25,635,728 outputs
Outputs from BMC Bioinformatics
#482
of 7,732 outputs
Outputs of similar age
#40,397
of 386,781 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 97 outputs
Altmetric has tracked 25,635,728 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has done particularly well, scoring higher than 93% 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 386,781 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 97 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 91% of its contemporaries.