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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modelling improved efficiency in healthcare referral systems for the urban poor using a geo-referenced health facility data: the case of Sylhet City Corporation, Bangladesh
|
|---|---|
| Published in |
BMC Public Health, September 2020
|
| DOI | 10.1186/s12889-020-09594-5 |
| Pubmed ID | |
| Authors |
Alayne M. Adams, Rushdia Ahmed, Shakil Ahmed, Sifat Shahana Yusuf, Rubana Islam, Ruman M. Zakaria Salam, Rocco Panciera |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 17% |
| Student > Bachelor | 9 | 13% |
| Researcher | 4 | 6% |
| Student > Postgraduate | 4 | 6% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 5 | 7% |
| Unknown | 31 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 10 | 14% |
| Medicine and Dentistry | 8 | 12% |
| Social Sciences | 3 | 4% |
| Business, Management and Accounting | 2 | 3% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 10 | 14% |
| Unknown | 34 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 October 2020.
All research outputs
#13,701,137
of 23,245,494 outputs
Outputs from BMC Public Health
#9,748
of 15,171 outputs
Outputs of similar age
#205,370
of 411,818 outputs
Outputs of similar age from BMC Public Health
#187
of 308 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,171 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 33rd percentile – i.e., 33% 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 411,818 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 308 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.