| Title |
TCRD and Pharos 2021: mining the human proteome for disease biology
|
|---|---|
| Published in |
Nucleic Acids Research, November 2020
|
| DOI | 10.1093/nar/gkaa993 |
| Pubmed ID | |
| Authors |
Timothy K Sheils, Stephen L Mathias, Keith J Kelleher, Vishal B Siramshetty, Dac-Trung Nguyen, Cristian G Bologa, Lars Juhl Jensen, Dušica Vidović, Amar Koleti, Stephan C Schürer, Anna Waller, Jeremy J Yang, Jayme Holmes, Giovanni Bocci, Noel Southall, Poorva Dharkar, Ewy Mathé, Anton Simeonov, Tudor I Oprea |
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X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| India | 1 | 11% |
| Sweden | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley demographics
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 130 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 20% |
| Student > Bachelor | 12 | 9% |
| Student > Ph. D. Student | 12 | 9% |
| Student > Master | 7 | 5% |
| Professor | 5 | 4% |
| Other | 17 | 13% |
| Unknown | 51 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 27 | 21% |
| Computer Science | 8 | 6% |
| Agricultural and Biological Sciences | 6 | 5% |
| Chemistry | 6 | 5% |
| Medicine and Dentistry | 5 | 4% |
| Other | 19 | 15% |
| Unknown | 59 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 April 2025.
All research outputs
#2,239,754
of 32,296,133 outputs
Outputs from Nucleic Acids Research
#2,074
of 32,480 outputs
Outputs of similar age
#45,976
of 462,957 outputs
Outputs of similar age from Nucleic Acids Research
#62
of 417 outputs
Altmetric has tracked 32,296,133 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 32,480 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 462,957 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 417 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.