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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Venous thromboembolism in COVID-19 patients and prediction model: a multicenter cohort study
|
|---|---|
| Published in |
BMC Infectious Diseases, May 2022
|
| DOI | 10.1186/s12879-022-07421-3 |
| Pubmed ID | |
| Authors |
Yi Lee, Qasim Jehangir, Pin Li, Deepthi Gudimella, Pooja Mahale, Chun-Hui Lin, Dinesh R. Apala, Geetha Krishnamoorthy, Abdul R. Halabi, Kiritkumar Patel, Laila Poisson, Venugopal Balijepally, Anupam A. Sule, Girish B. Nair |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Comoros | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 9% |
| Student > Master | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Lecturer | 2 | 4% |
| Researcher | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 31 | 66% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 11% |
| Engineering | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Linguistics | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 32 | 68% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 12 November 2022.
All research outputs
#14,544,376
of 24,798,538 outputs
Outputs from BMC Infectious Diseases
#3,563
of 8,331 outputs
Outputs of similar age
#189,147
of 433,964 outputs
Outputs of similar age from BMC Infectious Diseases
#83
of 202 outputs
Altmetric has tracked 24,798,538 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,331 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 gotten more attention than average, scoring higher than 55% 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 433,964 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 202 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.