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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risk factors and actionable molecular signatures in COVID-19-associated lung adenocarcinoma and lung squamous cell carcinoma patients
|
|---|---|
| Published in |
Computers in Biology & Medicine, April 2023
|
| DOI | 10.1016/j.compbiomed.2023.106855 |
| Pubmed ID | |
| Authors |
Md Asad Ullah, Sayka Alam, Abu Tayab Moin, Tanvir Ahamed, Abdullah Mohammad Shohael |
X Demographics
The data shown below were collected from the profiles of 112 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 | 12 | 11% |
| United Kingdom | 8 | 7% |
| Canada | 6 | 5% |
| Germany | 5 | 4% |
| France | 5 | 4% |
| Australia | 3 | 3% |
| Italy | 3 | 3% |
| Japan | 2 | 2% |
| Switzerland | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 58 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 100 | 89% |
| Scientists | 6 | 5% |
| Practitioners (doctors, other healthcare professionals) | 5 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 13% |
| Student > Bachelor | 1 | 13% |
| Student > Ph. D. Student | 1 | 13% |
| Student > Doctoral Student | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Nursing and Health Professions | 1 | 13% |
| Neuroscience | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 4 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 21 February 2024.
All research outputs
#975,582
of 25,768,270 outputs
Outputs from Computers in Biology & Medicine
#22
of 2,829 outputs
Outputs of similar age
#20,630
of 424,268 outputs
Outputs of similar age from Computers in Biology & Medicine
#1
of 118 outputs
Altmetric has tracked 25,768,270 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 2,829 research outputs from this source. They receive a mean Attention Score of 3.7. 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 424,268 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 118 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 99% of its contemporaries.