| Title |
Splenomegaly versus pathological lung volume during COVID-19 infection with or without cytokine storm; a linear regression analysis using CT volumetry
|
|---|---|
| Published in |
Egyptian Journal of Radiology and Nuclear Medicine, May 2022
|
| DOI | 10.1186/s43055-022-00793-1 |
| Authors |
Ahmed Samir, Heba Said Gharraf, Ayman Ibrahim Baess, Rania Ahmed Sweed, Khaled Matrawy, Mats Geijer, Adel Shalabi, Yasmine Tarek |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 17% |
| Student > Bachelor | 1 | 17% |
| Researcher | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Nursing and Health Professions | 1 | 17% |
| Social Sciences | 1 | 17% |
| Unknown | 3 | 50% |