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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Is early detection of abused children possible?: a systematic review of the diagnostic accuracy of the identification of abused children
|
|---|---|
| Published in |
BMC Pediatrics, December 2013
|
| DOI | 10.1186/1471-2431-13-202 |
| Pubmed ID | |
| Authors |
Marion Bailhache, Valériane Leroy, Pascal Pillet, Louis-Rachid Salmi |
| Abstract |
Early detection of abused children could help decrease mortality and morbidity related to this major public health problem. Several authors have proposed tools to screen for child maltreatment. The aim of this systematic review was to examine the evidence on accuracy of tools proposed to identify abused children before their death and assess if any were adapted to screening. |
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 Kingdom | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| New Zealand | 1 | <1% |
| United States | 1 | <1% |
| France | 1 | <1% |
| Unknown | 223 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 14% |
| Student > Master | 29 | 13% |
| Student > Bachelor | 24 | 11% |
| Student > Ph. D. Student | 23 | 10% |
| Other | 14 | 6% |
| Other | 47 | 21% |
| Unknown | 59 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 65 | 29% |
| Psychology | 33 | 15% |
| Nursing and Health Professions | 22 | 10% |
| Social Sciences | 16 | 7% |
| Computer Science | 3 | 1% |
| Other | 16 | 7% |
| Unknown | 72 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 May 2019.
All research outputs
#6,493,896
of 25,837,817 outputs
Outputs from BMC Pediatrics
#987
of 3,508 outputs
Outputs of similar age
#68,171
of 323,962 outputs
Outputs of similar age from BMC Pediatrics
#12
of 39 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,508 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 71% 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 323,962 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 39 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 69% of its contemporaries.