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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An analysis of respondent-driven sampling with injecting drug users in a high HIV prevalent state of India
|
|---|---|
| Published in |
Harm Reduction Journal, July 2017
|
| DOI | 10.1186/s12954-017-0171-0 |
| Pubmed ID | |
| Authors |
Sanjib Kumar Phukan, Gajendra Kumar Medhi, Jagadish Mahanta, Rajatashuvra Adhikary, Gay Thongamba, Ramesh S. Paranjape, Brogen S. Akoijam |
| Abstract |
Personal networks are significant social spaces to spread of HIV or other blood-borne infections among hard-to-reach population, viz., injecting drug users, female sex workers, etc. Sharing of infected needles or syringes among drug users is one of the major routes of HIV transmission in Manipur, a high HIV prevalence state in India. This study was carried out to describe the network characteristics and recruitment patterns of injecting drug users and to assess the association of personal network with injecting risky behaviors in Manipur. A total of 821 injecting drug users were recruited into the study using respondent-driven sampling (RDS) from Bishnupur and Churachandpur districts of Manipur; data on demographic characteristics, HIV risk behaviors, and network size were collected from them. Transition probability matrices and homophily indices were used to describe the network characteristics, and recruitment patterns of injecting drug users. Univariate and multivariate binary logistic regression models were performed to analyze the association between the personal networks and sharing of needles or syringes. The average network size was similar in both the districts. Recruitment analysis indicates injecting drug users were mostly engaged in mixed age group setting for injecting practice. Ever married and new injectors showed lack of in-group ties. Younger injecting drug users had mainly recruited older injecting drug users from their personal network. In logistic regression analysis, higher personal network was found to be significantly associated with increased likelihood of injecting risky behaviors. Because of mixed personal network of new injectors and higher network density associated with HIV exposure, older injecting drug users may act as a link for HIV transmission or other blood-borne infections to new injectors and also to their sexual partners. The information from this study may be useful to understanding the network pattern of injecting drug users for enriching the HIV prevention in this region. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 4 | 36% |
| Czechia | 1 | 9% |
| Austria | 1 | 9% |
| Nigeria | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 16% |
| Student > Bachelor | 8 | 13% |
| Student > Master | 7 | 11% |
| Researcher | 7 | 11% |
| Other | 5 | 8% |
| Other | 5 | 8% |
| Unknown | 19 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 16% |
| Nursing and Health Professions | 9 | 15% |
| Social Sciences | 5 | 8% |
| Psychology | 4 | 7% |
| Unspecified | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 24 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 07 May 2018.
All research outputs
#6,052,566
of 22,985,065 outputs
Outputs from Harm Reduction Journal
#594
of 930 outputs
Outputs of similar age
#95,308
of 313,820 outputs
Outputs of similar age from Harm Reduction Journal
#20
of 28 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 930 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 313,820 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 69% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.