| Title |
Social capital and COVID-19: a multidimensional and multilevel approach
|
|---|---|
| Published in |
Chinese Sociological Review, October 2020
|
| DOI | 10.1080/21620555.2020.1814139 |
| Authors |
Cary Wu |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | 15% |
| United States | 3 | 15% |
| Philippines | 2 | 10% |
| Austria | 1 | 5% |
| Thailand | 1 | 5% |
| Mexico | 1 | 5% |
| Netherlands | 1 | 5% |
| United Kingdom | 1 | 5% |
| Belgium | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 65% |
| Scientists | 5 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 206 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 13% |
| Lecturer | 20 | 10% |
| Student > Master | 19 | 9% |
| Researcher | 17 | 8% |
| Student > Bachelor | 14 | 7% |
| Other | 30 | 15% |
| Unknown | 79 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 52 | 25% |
| Business, Management and Accounting | 11 | 5% |
| Economics, Econometrics and Finance | 10 | 5% |
| Arts and Humanities | 8 | 4% |
| Nursing and Health Professions | 6 | 3% |
| Other | 29 | 14% |
| Unknown | 90 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 38. 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 01 August 2021.
All research outputs
#1,074,031
of 25,401,784 outputs
Outputs from Chinese Sociological Review
#7
of 119 outputs
Outputs of similar age
#29,806
of 435,425 outputs
Outputs of similar age from Chinese Sociological Review
#2
of 9 outputs
Altmetric has tracked 25,401,784 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 119 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 94% 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 435,425 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 93% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.