| Title |
The Conundrum of ‘Long-COVID-19ʹ: A Narrative Review
|
|---|---|
| Published in |
International Journal of General Medicine, June 2021
|
| DOI | 10.2147/ijgm.s316708 |
| Pubmed ID | |
| Authors |
Mandeep Garg, Muniraju Maralakunte, Suruchi Garg, Sahajal Dhooria, Inderpaul Sehgal, Ashu Seith Bhalla, Rajesh Vijayvergiya, Sandeep Grover, Vikas Bhatia, Priya Jagia, Ashish Bhalla, Vikas Suri, Manoj Goyal, Ritesh Agarwal, Goverdhan Dutt Puri, Manavjit Singh Sandhu |
X Demographics
The data shown below were collected from the profiles of 16 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 | 3 | 19% |
| India | 2 | 13% |
| United Kingdom | 2 | 13% |
| Turkey | 1 | 6% |
| Germany | 1 | 6% |
| France | 1 | 6% |
| United Arab Emirates | 1 | 6% |
| Unknown | 5 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Scientists | 3 | 19% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 404 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 404 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 41 | 10% |
| Researcher | 35 | 9% |
| Student > Master | 28 | 7% |
| Student > Ph. D. Student | 23 | 6% |
| Other | 17 | 4% |
| Other | 76 | 19% |
| Unknown | 184 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 87 | 22% |
| Nursing and Health Professions | 34 | 8% |
| Psychology | 13 | 3% |
| Unspecified | 13 | 3% |
| Biochemistry, Genetics and Molecular Biology | 12 | 3% |
| Other | 52 | 13% |
| Unknown | 193 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 23 July 2022.
All research outputs
#784,245
of 24,450,293 outputs
Outputs from International Journal of General Medicine
#44
of 1,563 outputs
Outputs of similar age
#21,190
of 437,494 outputs
Outputs of similar age from International Journal of General Medicine
#5
of 129 outputs
Altmetric has tracked 24,450,293 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 1,563 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 97% 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 437,494 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 129 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 96% of its contemporaries.