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X Demographics
Mendeley readers
Attention Score in Context
Title |
Data-independent acquisition mass spectrometry in severe rheumatic heart disease (RHD) identifies a proteomic signature showing ongoing inflammation and effectively classifying RHD cases
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Published in |
Clinical Proteomics, March 2022
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DOI | 10.1186/s12014-022-09345-1 |
Pubmed ID | |
Authors |
M. Taariq Salie, Jing Yang, Carlos R. Ramírez Medina, Liesl J. Zühlke, Chishala Chishala, Mpiko Ntsekhe, Bernard Gitura, Stephen Ogendo, Emmy Okello, Peter Lwabi, John Musuku, Agnes Mtaja, Christopher Hugo-Hamman, Ahmed El-Sayed, Albertino Damasceno, Ana Mocumbi, Fidelia Bode-Thomas, Christopher Yilgwan, Ganiyu A. Amusa, Esin Nkereuwem, Gasnat Shaboodien, Rachael Da Silva, Dave Chi Hoo Lee, Simon Frain, Nophar Geifman, Anthony D. Whetton, Bernard Keavney, Mark E. Engel |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 3 | 17% |
Australia | 2 | 11% |
France | 1 | 6% |
United States | 1 | 6% |
United Kingdom | 1 | 6% |
Unknown | 10 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 50% |
Scientists | 5 | 28% |
Practitioners (doctors, other healthcare professionals) | 3 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 19% |
Student > Bachelor | 5 | 19% |
Student > Doctoral Student | 3 | 12% |
Lecturer | 2 | 8% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 3 | 12% |
Unknown | 7 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 19% |
Medicine and Dentistry | 4 | 15% |
Chemistry | 3 | 12% |
Engineering | 2 | 8% |
Nursing and Health Professions | 1 | 4% |
Other | 5 | 19% |
Unknown | 6 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 27 July 2022.
All research outputs
#799,086
of 24,394,175 outputs
Outputs from Clinical Proteomics
#7
of 303 outputs
Outputs of similar age
#20,428
of 431,268 outputs
Outputs of similar age from Clinical Proteomics
#2
of 5 outputs
Altmetric has tracked 24,394,175 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 98% 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 431,268 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.