Statistics for Use of High-Sensitivity Troponin T to Identify Patients With Acute Heart Failure at Lower Risk for Adverse Outcomes
Total visits
| views | |
|---|---|
| Use of High-Sensitivity Troponin T to Identify Patients With Acute Heart Failure at Lower Risk for Adverse Outcomes | 351 |
Total visits per month
| views | |
|---|---|
| September 2024 | 0 |
| October 2024 | 0 |
| November 2024 | 0 |
| December 2024 | 0 |
| January 2025 | 0 |
| February 2025 | 0 |
| March 2025 | 0 |
File Visits
| views | |
|---|---|
| Pang_2016_use.pdf | 423 |
| java.util.UUID:cb6a1496-8221-4b81-980c-87a93534ae24 | 40 |
| java.util.UUID:b312c314-0369-407d-a882-2629fa775033 | 14 |
| java.util.UUID:069d40b3-f540-4774-ab4f-04b21c5f0936 | 9 |
Top country views
| views | |
|---|---|
| United States | 239 |
| Germany | 15 |
| China | 8 |
| United Kingdom | 7 |
| Russia | 7 |
| Ukraine | 7 |
| Netherlands | 6 |
| Indonesia | 4 |
| Poland | 4 |
| France | 3 |
| Australia | 2 |
| Canada | 2 |
| Switzerland | 2 |
| Denmark | 2 |
| Greece | 2 |
| India | 2 |
| Turkey | 2 |
| Algeria | 1 |
| Israel | 1 |
| Japan | 1 |
| Malaysia | 1 |
| Thailand | 1 |
Top city views
| views | |
|---|---|
| Wilmington | 71 |
| Fairfield | 32 |
| Ann Arbor | 22 |
| Houston | 15 |
| Cambridge | 12 |
| Kiez | 12 |
| Jacksonville | 7 |
| Kiev | 6 |
| Beijing | 5 |
| Duncan | 5 |
| San Francisco | 5 |
| Washington | 5 |
| Henryk | 4 |
| Abingdon | 3 |
| Amsterdam | 3 |
| Dearborn | 3 |
| Jakarta | 3 |
| Rockville | 3 |
| Saint Petersburg | 3 |
| White Plains | 3 |
| Aarhus | 2 |
| Athens | 2 |
| Brooklyn | 2 |
| Concord | 2 |
| Gunzenhausen | 2 |
| Lake Mary | 2 |
| Moscow | 2 |
| Nanterre | 2 |
| Ryde | 2 |
| Seattle | 2 |
| Toronto | 2 |
| Zoetermeer | 2 |
| Zürich | 2 |
| Alexandria | 1 |
| Bangkok | 1 |
| Bloomsbury | 1 |
| El Segundo | 1 |
| Falls Church | 1 |
| Groningen | 1 |
| Haddington | 1 |
| Hamburg | 1 |
| Highland | 1 |
| Hyderabad | 1 |
| Istanbul | 1 |
| Jerusalem | 1 |
| Loma Linda | 1 |
| Mersin | 1 |
| Minneapolis | 1 |
| Nanjing | 1 |
| Norwalk | 1 |
| Oxford | 1 |
| Pande | 1 |
| Paris | 1 |
| Philadelphia | 1 |
| Santa Rosa | 1 |
| Sapporo | 1 |
| Scottsdale | 1 |
| Seremban | 1 |
| Swedesboro | 1 |
| Tula | 1 |