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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neonatal White Matter Abnormalities an Important Predictor of Neurocognitive Outcome for Very Preterm Children
|
|---|---|
| Published in |
PLOS ONE, December 2012
|
| DOI | 10.1371/journal.pone.0051879 |
| Pubmed ID | |
| Authors |
Lianne J. Woodward, Caron A. C. Clark, Samudragupta Bora, Terrie E. Inder |
| Abstract |
Cerebral white matter abnormalities on term MRI are a strong predictor of motor disability in children born very preterm. However, their contribution to cognitive impairment is less certain. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 312 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 3 | <1% |
| France | 2 | <1% |
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| Austria | 1 | <1% |
| Mexico | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 302 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 52 | 17% |
| Student > Ph. D. Student | 50 | 16% |
| Student > Master | 40 | 13% |
| Student > Bachelor | 25 | 8% |
| Student > Doctoral Student | 23 | 7% |
| Other | 59 | 19% |
| Unknown | 63 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 89 | 29% |
| Psychology | 44 | 14% |
| Neuroscience | 40 | 13% |
| Nursing and Health Professions | 12 | 4% |
| Agricultural and Biological Sciences | 10 | 3% |
| Other | 30 | 10% |
| Unknown | 87 | 28% |
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 29 December 2012.
All research outputs
#14,741,936
of 22,691,736 outputs
Outputs from PLOS ONE
#123,008
of 193,720 outputs
Outputs of similar age
#175,031
of 280,171 outputs
Outputs of similar age from PLOS ONE
#2,793
of 4,807 outputs
Altmetric has tracked 22,691,736 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,720 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. 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 280,171 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,807 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.